diff --git a/PE_source_code.ipynb b/PE_source_code.ipynb
index 8f5224b..fd3b268 100644
--- a/PE_source_code.ipynb
+++ b/PE_source_code.ipynb
@@ -2,7 +2,18 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 1,
+   "id": "1ef1b6d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\", category=FutureWarning)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
    "id": "e677fd73-c2d4-44b5-9cfc-85dc34966037",
    "metadata": {},
    "outputs": [],
@@ -48,7 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 3,
    "id": "050acd49-3403-437e-8235-305e5383e1f2",
    "metadata": {},
    "outputs": [
@@ -56,8 +67,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Total samples =  1822\n",
-      "Total sample_ID =  1822\n"
+      "Total samples =  1676\n",
+      "Total sample_ID =  1676\n"
      ]
     }
    ],
@@ -79,7 +90,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
+   "id": "15a4d2a2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1676, 622)"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "feature_matrix_df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
    "id": "37e8e20f-707f-4d32-adfb-014f1ae0b611",
    "metadata": {},
    "outputs": [],
@@ -90,8 +122,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "id": "1bfd2c1c-f06c-498a-ab34-e6574487f0b3",
+   "execution_count": 6,
+   "id": "88a78432",
    "metadata": {},
    "outputs": [
     {
@@ -100,12 +132,12 @@
      "text": [
       "FF-Training Cohort\n",
       "num Non_Preg = 20\n",
-      "num Preg = 380\n",
+      "num Preg = 375\n",
       "\n",
       "num Non_Preg = 20\n",
       "num Preg = 25\n",
-      "Total num of feats =  1239\n",
-      "num of stat sig = 141\n"
+      "Total num of feats =  300\n",
+      "num of stat sig = 159\n"
      ]
     },
     {
@@ -141,113 +173,113 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>75</th>\n",
-       "      <td>Placental_trophoblast_120_180_MCV</td>\n",
-       "      <td>1.203926e-08</td>\n",
-       "      <td>0.976440</td>\n",
-       "      <td>0.998410</td>\n",
-       "      <td>0.974800</td>\n",
-       "      <td>0.003689</td>\n",
-       "      <td>0.000015</td>\n",
+       "      <th>289</th>\n",
+       "      <td>GRHL2_120_180_NDR-75</td>\n",
+       "      <td>1.205252e-08</td>\n",
+       "      <td>0.929044</td>\n",
+       "      <td>0.997379</td>\n",
+       "      <td>0.926355</td>\n",
+       "      <td>0.015370</td>\n",
+       "      <td>0.000004</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>686</th>\n",
-       "      <td>ZSCAN16_120_180_NDR-75</td>\n",
+       "      <th>26</th>\n",
+       "      <td>Placental_120_180_NDR-30</td>\n",
        "      <td>1.205252e-08</td>\n",
-       "      <td>0.905893</td>\n",
-       "      <td>0.868710</td>\n",
-       "      <td>0.790645</td>\n",
-       "      <td>0.017905</td>\n",
-       "      <td>0.000015</td>\n",
+       "      <td>0.887965</td>\n",
+       "      <td>1.009065</td>\n",
+       "      <td>0.895234</td>\n",
+       "      <td>0.019899</td>\n",
+       "      <td>0.000004</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>589</th>\n",
-       "      <td>Placental_120_180_NDR-75</td>\n",
+       "      <th>62</th>\n",
+       "      <td>ZSCAN16_120_180_NDR-30</td>\n",
        "      <td>1.205252e-08</td>\n",
-       "      <td>0.893413</td>\n",
-       "      <td>1.001983</td>\n",
-       "      <td>0.897867</td>\n",
-       "      <td>0.012453</td>\n",
-       "      <td>0.000015</td>\n",
+       "      <td>0.899478</td>\n",
+       "      <td>0.849546</td>\n",
+       "      <td>0.768460</td>\n",
+       "      <td>0.025965</td>\n",
+       "      <td>0.000004</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>973</th>\n",
-       "      <td>Placental_120_180_NDR-30</td>\n",
+       "      <th>22</th>\n",
+       "      <td>Placental_120_180_MCV</td>\n",
        "      <td>1.205252e-08</td>\n",
-       "      <td>0.885588</td>\n",
-       "      <td>1.010775</td>\n",
-       "      <td>0.895830</td>\n",
-       "      <td>0.020987</td>\n",
-       "      <td>0.000015</td>\n",
+       "      <td>0.970286</td>\n",
+       "      <td>1.003012</td>\n",
+       "      <td>0.972162</td>\n",
+       "      <td>0.003582</td>\n",
+       "      <td>0.000004</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>503</th>\n",
+       "      <th>5</th>\n",
        "      <td>Placental_trophoblast_120_180_NDR-75</td>\n",
        "      <td>1.205252e-08</td>\n",
-       "      <td>0.911134</td>\n",
-       "      <td>1.027733</td>\n",
-       "      <td>0.933472</td>\n",
-       "      <td>0.015126</td>\n",
-       "      <td>0.000015</td>\n",
+       "      <td>0.911450</td>\n",
+       "      <td>1.025435</td>\n",
+       "      <td>0.933493</td>\n",
+       "      <td>0.015882</td>\n",
+       "      <td>0.000004</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>95</th>\n",
-       "      <td>ZSCAN16_120_180_NDR-30</td>\n",
+       "      <th>160</th>\n",
+       "      <td>ZSCAN4_120_180_NDR-75</td>\n",
        "      <td>1.205252e-08</td>\n",
-       "      <td>0.900342</td>\n",
-       "      <td>0.846315</td>\n",
-       "      <td>0.767120</td>\n",
-       "      <td>0.027320</td>\n",
-       "      <td>0.000015</td>\n",
+       "      <td>0.798128</td>\n",
+       "      <td>0.515194</td>\n",
+       "      <td>0.414405</td>\n",
+       "      <td>0.024368</td>\n",
+       "      <td>0.000004</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>136</th>\n",
-       "      <td>Placental_120_180_MCV</td>\n",
+       "      <th>38</th>\n",
+       "      <td>Placental_120_180_NDR-75</td>\n",
        "      <td>1.205252e-08</td>\n",
-       "      <td>0.970287</td>\n",
-       "      <td>1.003010</td>\n",
-       "      <td>0.972160</td>\n",
-       "      <td>0.003584</td>\n",
-       "      <td>0.000015</td>\n",
+       "      <td>0.894596</td>\n",
+       "      <td>0.999625</td>\n",
+       "      <td>0.897260</td>\n",
+       "      <td>0.012633</td>\n",
+       "      <td>0.000004</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>GRHL2_120_180_NDR-75</td>\n",
+       "      <th>100</th>\n",
+       "      <td>Placental_trophoblast_120_180_MCV</td>\n",
        "      <td>1.205252e-08</td>\n",
-       "      <td>0.927881</td>\n",
-       "      <td>0.997440</td>\n",
-       "      <td>0.924863</td>\n",
-       "      <td>0.014924</td>\n",
-       "      <td>0.000015</td>\n",
+       "      <td>0.976441</td>\n",
+       "      <td>0.998409</td>\n",
+       "      <td>0.974799</td>\n",
+       "      <td>0.003689</td>\n",
+       "      <td>0.000004</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1028</th>\n",
-       "      <td>GRHL2_120_180_MCV</td>\n",
+       "      <th>281</th>\n",
+       "      <td>ZSCAN16_120_180_NDR-75</td>\n",
        "      <td>1.377680e-08</td>\n",
-       "      <td>0.984427</td>\n",
-       "      <td>0.990460</td>\n",
-       "      <td>0.973900</td>\n",
-       "      <td>0.003842</td>\n",
-       "      <td>0.000017</td>\n",
+       "      <td>0.905878</td>\n",
+       "      <td>0.869115</td>\n",
+       "      <td>0.791385</td>\n",
+       "      <td>0.017410</td>\n",
+       "      <td>0.000004</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>533</th>\n",
-       "      <td>ZSCAN4_120_180_NDR-75</td>\n",
+       "      <th>41</th>\n",
+       "      <td>GRHL2_120_180_MCV</td>\n",
        "      <td>1.377680e-08</td>\n",
-       "      <td>0.797347</td>\n",
-       "      <td>0.514501</td>\n",
-       "      <td>0.411969</td>\n",
-       "      <td>0.024367</td>\n",
-       "      <td>0.000017</td>\n",
+       "      <td>0.984428</td>\n",
+       "      <td>0.990459</td>\n",
+       "      <td>0.973899</td>\n",
+       "      <td>0.003842</td>\n",
+       "      <td>0.000004</td>\n",
        "      <td>True</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -255,44 +287,44 @@
        "</div>"
       ],
       "text/plain": [
-       "                                        TF          pval  log2_Fold_change  \\\n",
-       "75       Placental_trophoblast_120_180_MCV  1.203926e-08          0.976440   \n",
-       "686                 ZSCAN16_120_180_NDR-75  1.205252e-08          0.905893   \n",
-       "589               Placental_120_180_NDR-75  1.205252e-08          0.893413   \n",
-       "973               Placental_120_180_NDR-30  1.205252e-08          0.885588   \n",
-       "503   Placental_trophoblast_120_180_NDR-75  1.205252e-08          0.911134   \n",
-       "95                  ZSCAN16_120_180_NDR-30  1.205252e-08          0.900342   \n",
-       "136                  Placental_120_180_MCV  1.205252e-08          0.970287   \n",
-       "23                    GRHL2_120_180_NDR-75  1.205252e-08          0.927881   \n",
-       "1028                     GRHL2_120_180_MCV  1.377680e-08          0.984427   \n",
-       "533                  ZSCAN4_120_180_NDR-75  1.377680e-08          0.797347   \n",
+       "                                       TF          pval  log2_Fold_change  \\\n",
+       "289                  GRHL2_120_180_NDR-75  1.205252e-08          0.929044   \n",
+       "26               Placental_120_180_NDR-30  1.205252e-08          0.887965   \n",
+       "62                 ZSCAN16_120_180_NDR-30  1.205252e-08          0.899478   \n",
+       "22                  Placental_120_180_MCV  1.205252e-08          0.970286   \n",
+       "5    Placental_trophoblast_120_180_NDR-75  1.205252e-08          0.911450   \n",
+       "160                 ZSCAN4_120_180_NDR-75  1.205252e-08          0.798128   \n",
+       "38               Placental_120_180_NDR-75  1.205252e-08          0.894596   \n",
+       "100     Placental_trophoblast_120_180_MCV  1.205252e-08          0.976441   \n",
+       "281                ZSCAN16_120_180_NDR-75  1.377680e-08          0.905878   \n",
+       "41                      GRHL2_120_180_MCV  1.377680e-08          0.984428   \n",
        "\n",
-       "      NOP_median  PEP_Median       std  Multitest_bf_Adjusted_pvalue  \\\n",
-       "75      0.998410    0.974800  0.003689                      0.000015   \n",
-       "686     0.868710    0.790645  0.017905                      0.000015   \n",
-       "589     1.001983    0.897867  0.012453                      0.000015   \n",
-       "973     1.010775    0.895830  0.020987                      0.000015   \n",
-       "503     1.027733    0.933472  0.015126                      0.000015   \n",
-       "95      0.846315    0.767120  0.027320                      0.000015   \n",
-       "136     1.003010    0.972160  0.003584                      0.000015   \n",
-       "23      0.997440    0.924863  0.014924                      0.000015   \n",
-       "1028    0.990460    0.973900  0.003842                      0.000017   \n",
-       "533     0.514501    0.411969  0.024367                      0.000017   \n",
+       "     NOP_median  PEP_Median       std  Multitest_bf_Adjusted_pvalue  \\\n",
+       "289    0.997379    0.926355  0.015370                      0.000004   \n",
+       "26     1.009065    0.895234  0.019899                      0.000004   \n",
+       "62     0.849546    0.768460  0.025965                      0.000004   \n",
+       "22     1.003012    0.972162  0.003582                      0.000004   \n",
+       "5      1.025435    0.933493  0.015882                      0.000004   \n",
+       "160    0.515194    0.414405  0.024368                      0.000004   \n",
+       "38     0.999625    0.897260  0.012633                      0.000004   \n",
+       "100    0.998409    0.974799  0.003689                      0.000004   \n",
+       "281    0.869115    0.791385  0.017410                      0.000004   \n",
+       "41     0.990459    0.973899  0.003842                      0.000004   \n",
        "\n",
-       "      Multitest_bf_reject  \n",
-       "75                   True  \n",
-       "686                  True  \n",
-       "589                  True  \n",
-       "973                  True  \n",
-       "503                  True  \n",
-       "95                   True  \n",
-       "136                  True  \n",
-       "23                   True  \n",
-       "1028                 True  \n",
-       "533                  True  "
+       "     Multitest_bf_reject  \n",
+       "289                 True  \n",
+       "26                  True  \n",
+       "62                  True  \n",
+       "22                  True  \n",
+       "5                   True  \n",
+       "160                 True  \n",
+       "38                  True  \n",
+       "100                 True  \n",
+       "281                 True  \n",
+       "41                  True  "
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -352,7 +384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "8de580d6-0216-471a-bf05-faec91cf72ed",
    "metadata": {},
    "outputs": [
@@ -404,31 +436,6 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>P4</td>\n",
-       "      <td>Screening Cohort</td>\n",
-       "      <td>NP</td>\n",
-       "      <td>NP</td>\n",
-       "      <td>11.428571</td>\n",
-       "      <td>2017</td>\n",
-       "      <td>0.753189</td>\n",
-       "      <td>-0.008733</td>\n",
-       "      <td>0.145604</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>39</td>\n",
-       "      <td>21.963505</td>\n",
-       "      <td>116</td>\n",
-       "      <td>79</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>39.714286</td>\n",
-       "      <td>3258</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
        "      <td>P1</td>\n",
        "      <td>Screening Cohort</td>\n",
        "      <td>PE</td>\n",
@@ -437,94 +444,119 @@
        "      <td>2017</td>\n",
        "      <td>0.542231</td>\n",
        "      <td>0.098206</td>\n",
-       "      <td>0.156523</td>\n",
-       "      <td>1</td>\n",
+       "      <td>0.157727</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0</td>\n",
-       "      <td>39</td>\n",
+       "      <td>39.0</td>\n",
        "      <td>35.338593</td>\n",
-       "      <td>112</td>\n",
-       "      <td>64</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>64.0</td>\n",
        "      <td>37.428571</td>\n",
        "      <td>37.428571</td>\n",
-       "      <td>3019</td>\n",
+       "      <td>3019.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>Screening Cohort</td>\n",
+       "      <td>PE</td>\n",
+       "      <td>LOPE-PB</td>\n",
+       "      <td>12.142857</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>0.443108</td>\n",
+       "      <td>0.085220</td>\n",
+       "      <td>0.126031</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>31.954533</td>\n",
+       "      <td>153.0</td>\n",
+       "      <td>105.0</td>\n",
+       "      <td>35.000000</td>\n",
+       "      <td>35.142857</td>\n",
+       "      <td>2485.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.0</td>\n",
        "      <td>1</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>P3</td>\n",
+       "      <td>P100</td>\n",
        "      <td>Screening Cohort</td>\n",
        "      <td>NP</td>\n",
        "      <td>NP</td>\n",
-       "      <td>12.000000</td>\n",
+       "      <td>13.285714</td>\n",
        "      <td>2017</td>\n",
-       "      <td>0.717252</td>\n",
-       "      <td>0.154607</td>\n",
-       "      <td>0.185625</td>\n",
-       "      <td>1</td>\n",
+       "      <td>0.975463</td>\n",
+       "      <td>0.183865</td>\n",
+       "      <td>0.189994</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0</td>\n",
-       "      <td>31</td>\n",
-       "      <td>22.075479</td>\n",
-       "      <td>108</td>\n",
-       "      <td>69</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>39.571429</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>25.616051</td>\n",
+       "      <td>104.0</td>\n",
+       "      <td>70.0</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2</td>\n",
+       "      <td>39.000000</td>\n",
+       "      <td>3030.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>P2</td>\n",
+       "      <td>P1000</td>\n",
        "      <td>Screening Cohort</td>\n",
        "      <td>NP</td>\n",
        "      <td>NP</td>\n",
-       "      <td>10.285714</td>\n",
-       "      <td>2017</td>\n",
-       "      <td>0.571194</td>\n",
-       "      <td>0.060744</td>\n",
-       "      <td>0.075060</td>\n",
-       "      <td>1</td>\n",
+       "      <td>12.140000</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>0.578298</td>\n",
+       "      <td>0.043864</td>\n",
+       "      <td>0.061306</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0</td>\n",
-       "      <td>37</td>\n",
-       "      <td>24.0625</td>\n",
-       "      <td>96</td>\n",
-       "      <td>64</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>26.089845</td>\n",
+       "      <td>121.0</td>\n",
+       "      <td>79.0</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>39.714286</td>\n",
-       "      <td>3064</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
+       "      <td>36.857143</td>\n",
+       "      <td>2619.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>5.0</td>\n",
        "      <td>2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>P6</td>\n",
+       "      <td>P1001</td>\n",
        "      <td>Screening Cohort</td>\n",
        "      <td>NP</td>\n",
        "      <td>NP</td>\n",
-       "      <td>13.000000</td>\n",
-       "      <td>2017</td>\n",
-       "      <td>0.454194</td>\n",
-       "      <td>-0.006927</td>\n",
-       "      <td>0.115324</td>\n",
-       "      <td>2</td>\n",
+       "      <td>12.285714</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>0.318082</td>\n",
+       "      <td>0.133383</td>\n",
+       "      <td>0.154956</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0</td>\n",
-       "      <td>40</td>\n",
-       "      <td>23.1012</td>\n",
-       "      <td>110</td>\n",
-       "      <td>60</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>23.421517</td>\n",
+       "      <td>119.0</td>\n",
+       "      <td>71.0</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>41.857143</td>\n",
-       "      <td>4020</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
+       "      <td>38.142857</td>\n",
+       "      <td>3179.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.0</td>\n",
        "      <td>2</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -533,42 +565,49 @@
       ],
       "text/plain": [
        "  sample_ID            Cohort Outcome  Subtype  NIPS_gestational_age  Year  \\\n",
-       "0        P4  Screening Cohort      NP       NP             11.428571  2017   \n",
-       "1        P1  Screening Cohort      PE  LOPE-TB             12.142857  2017   \n",
-       "2        P3  Screening Cohort      NP       NP             12.000000  2017   \n",
-       "3        P2  Screening Cohort      NP       NP             10.285714  2017   \n",
-       "4        P6  Screening Cohort      NP       NP             13.000000  2017   \n",
+       "0        P1  Screening Cohort      PE  LOPE-TB             12.142857  2017   \n",
+       "1       P10  Screening Cohort      PE  LOPE-PB             12.142857  2017   \n",
+       "2      P100  Screening Cohort      NP       NP             13.285714  2017   \n",
+       "3     P1000  Screening Cohort      NP       NP             12.140000  2018   \n",
+       "4     P1001  Screening Cohort      NP       NP             12.285714  2018   \n",
        "\n",
        "   mean_sequencing_coverage  ChrY_Fetal_Fraction  Griffin_Fetal_Fraction  \\\n",
-       "0                  0.753189            -0.008733                0.145604   \n",
-       "1                  0.542231             0.098206                0.156523   \n",
-       "2                  0.717252             0.154607                0.185625   \n",
-       "3                  0.571194             0.060744                0.075060   \n",
-       "4                  0.454194            -0.006927                0.115324   \n",
+       "0                  0.542231             0.098206                0.157727   \n",
+       "1                  0.443108             0.085220                0.126031   \n",
+       "2                  0.975463             0.183865                0.189994   \n",
+       "3                  0.578298             0.043864                0.061306   \n",
+       "4                  0.318082             0.133383                0.154956   \n",
+       "\n",
+       "   Neonatal_Sex  Non-Pregnant_Sample  Maternal_age  NIPS_Maternal_bmi  \\\n",
+       "0           1.0                    0          39.0          35.338593   \n",
+       "1           1.0                    0          36.0          31.954533   \n",
+       "2           1.0                    0          37.0          25.616051   \n",
+       "3           1.0                    0          33.0          26.089845   \n",
+       "4           1.0                    0          35.0          23.421517   \n",
        "\n",
-       "  Neonatal_Sex  Non-Pregnant_Sample Maternal_age NIPS_Maternal_bmi NIPS_sbp  \\\n",
-       "0            2                    0           39         21.963505      116   \n",
-       "1            1                    0           39         35.338593      112   \n",
-       "2            1                    0           31         22.075479      108   \n",
-       "3            1                    0           37           24.0625       96   \n",
-       "4            2                    0           40           23.1012      110   \n",
+       "   NIPS_sbp  NIPS_dbp  Onset_of_hypertension_Gestational_age  \\\n",
+       "0     112.0      64.0                              37.428571   \n",
+       "1     153.0     105.0                              35.000000   \n",
+       "2     104.0      70.0                                    NaN   \n",
+       "3     121.0      79.0                                    NaN   \n",
+       "4     119.0      71.0                                    NaN   \n",
        "\n",
-       "  NIPS_dbp Onset_of_hypertension_Gestational_age Delivery_Gestational_age  \\\n",
-       "0       79                                   NaN                39.714286   \n",
-       "1       64                             37.428571                37.428571   \n",
-       "2       69                                   NaN                39.571429   \n",
-       "3       64                                   NaN                39.714286   \n",
-       "4       60                                   NaN                41.857143   \n",
+       "   Delivery_Gestational_age  Birthweight  Chronic_hypertension  \\\n",
+       "0                 37.428571       3019.0                   0.0   \n",
+       "1                 35.142857       2485.0                   1.0   \n",
+       "2                 39.000000       3030.0                   0.0   \n",
+       "3                 36.857143       2619.0                   0.0   \n",
+       "4                 38.142857       3179.0                   0.0   \n",
        "\n",
-       "  Birthweight Chronic_hypertension Pre_gestational_diabetes race ethnicity  \n",
-       "0        3258                    0                        0    5         1  \n",
-       "1        3019                    0                        1    5         2  \n",
-       "2         NaN                    0                        0    5         2  \n",
-       "3        3064                    0                        0    2         2  \n",
-       "4        4020                    0                        0    5         2  "
+       "   Pre_gestational_diabetes  race ethnicity  \n",
+       "0                       1.0   5.0         2  \n",
+       "1                       1.0   5.0         1  \n",
+       "2                       0.0   1.0         1  \n",
+       "3                       0.0   5.0         2  \n",
+       "4                       0.0   2.0         2  "
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -579,7 +618,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "9cec7a43-8a10-4780-86e4-bcd920a6cefd",
    "metadata": {},
    "outputs": [
@@ -587,8 +626,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Total blinded training samples for Griffin FF =  400\n",
-      "Total features 141\n",
+      "Total blinded training samples for Griffin FF =  395\n",
+      "Total features 159\n",
       "Griffin-FF Fetal Fraction Estimated\n"
      ]
     }
@@ -603,7 +642,7 @@
     "Selected_feats = preg_feats\n",
     "X = Data_train[Selected_feats]\n",
     "y = Data_train[\"ChrY_Fetal_Fraction\"]\n",
-    "clf = linear_model.BayesianRidge(n_iter=1000) ##works great!\n",
+    "clf = linear_model.BayesianRidge(max_iter=1000) ##works great!\n",
     "clf.fit(X,y)\n",
     "print(\"Total features\",len(Selected_feats))\n",
     "\n",
@@ -623,7 +662,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "903e3327-d17f-4bc9-891c-2f1726c06763",
    "metadata": {},
    "outputs": [
@@ -631,16 +670,16 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Total samples in PE-Training cohort = 454\n",
-      "NP = 316\n",
-      "LOPE-TB = 58\n",
+      "Total samples in PE-Training cohort = 450\n",
+      "NP = 315\n",
+      "LOPE-TB = 62\n",
       "EOPE = 38\n",
-      "LOPE-PB = 42\n",
+      "LOPE-PB = 35\n",
       "\n",
-      "Total samples in PE Screening cohort = 789\n",
-      "NP = 690\n",
+      "Total samples in PE Screening cohort = 831\n",
       "LOPE-TB = 77\n",
-      "LOPE-PB = 11\n",
+      "LOPE-PB = 10\n",
+      "NP = 733\n",
       "EOPE = 11\n"
      ]
     }
@@ -668,7 +707,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "95fa65b2-f621-47b4-8c2b-b7ed13de50ee",
    "metadata": {},
    "outputs": [],
@@ -738,7 +777,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "c493a7ec-1d3e-4f08-b592-ebb879f7a6a2",
    "metadata": {},
    "outputs": [
@@ -746,65 +785,62 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Total samples in PE-Training cohort = 454\n",
-      "NP = 316\n",
-      "LOPE-TB = 58\n",
+      "Total samples in PE-Training cohort = 450\n",
+      "NP = 315\n",
+      "LOPE-TB = 62\n",
       "EOPE = 38\n",
-      "LOPE-PB = 42\n",
-      "Num of bootstrap = 20\n",
+      "LOPE-PB = 35\n",
+      "Num of bootstrap = 1000\n",
       "Num of feats = 17 ['Griffin_FF', 'Placental_120_180_MCV', 'Placental_trophoblast_120_180_MCV', 'Placental_120_180_NDR-30', 'Placental_120_180_NDR-75', 'Placental_trophoblast_120_180_NDR-30', 'Placental_trophoblast_120_180_NDR-75', 'Placental_35_80_NDR-30', 'Placental_trophoblast_35_80_NDR-30', 'Endothelial_120_180_MCV', 'Vascular_endothelial_120_180_MCV', 'Endothelial_120_180_NDR-30', 'Endothelial_120_180_NDR-75', 'Vascular_endothelial_120_180_NDR-30', 'Vascular_endothelial_120_180_NDR-75', 'Endothelial_35_80_NDR-30', 'Vascular_endothelial_35_80_NDR-30']\n",
-      "NP    316\n",
-      "PE    138\n",
-      "Name: Outcome, dtype: int64\n",
+      "Outcome\n",
+      "NP    315\n",
+      "PE    135\n",
+      "Name: count, dtype: int64\n",
       "#Performance metrics\n",
       "\n",
       "specificity 0.7\n",
-      "AUC 0.76 CI95 (0.7, 0.82)\n",
-      "Specificity 0.7 Sensitivity 0.71 CI95 (0.59, 0.84)\n",
-      "AUC 0.67 CI95 (0.61, 0.73)\n",
-      "Specificity 0.7 Sensitivity 0.53 CI95 (0.45, 0.64)\n",
-      "AUC 0.56 CI95 (0.5, 0.63)\n",
-      "Specificity 0.7 Sensitivity 0.32 CI95 (0.23, 0.5)\n",
+      "AUC 0.75 CI95 (0.66, 0.82)\n",
+      "Specificity 0.7 Sensitivity 0.67 CI95 (0.48, 0.83)\n",
+      "AUC 0.62 CI95 (0.54, 0.69)\n",
+      "Specificity 0.7 Sensitivity 0.46 CI95 (0.3, 0.62)\n",
+      "AUC 0.59 CI95 (0.53, 0.65)\n",
+      "Specificity 0.7 Sensitivity 0.39 CI95 (0.26, 0.53)\n",
       "\n",
       "specificity 0.8\n",
-      "AUC 0.76 CI95 (0.7, 0.82)\n",
-      "Specificity 0.8 Sensitivity 0.61 CI95 (0.41, 0.62)\n",
-      "AUC 0.67 CI95 (0.61, 0.73)\n",
-      "Specificity 0.8 Sensitivity 0.49 CI95 (0.35, 0.48)\n",
-      "AUC 0.56 CI95 (0.5, 0.63)\n",
-      "Specificity 0.8 Sensitivity 0.26 CI95 (0.1, 0.26)\n",
+      "AUC 0.75 CI95 (0.66, 0.82)\n",
+      "Specificity 0.8 Sensitivity 0.59 CI95 (0.33, 0.59)\n",
+      "AUC 0.62 CI95 (0.54, 0.69)\n",
+      "Specificity 0.8 Sensitivity 0.41 CI95 (0.22, 0.4)\n",
+      "AUC 0.59 CI95 (0.53, 0.65)\n",
+      "Specificity 0.8 Sensitivity 0.32 CI95 (0.15, 0.31)\n",
       "\n",
       "specificity 0.9\n",
-      "AUC 0.76 CI95 (0.7, 0.82)\n",
-      "Specificity 0.9 Sensitivity 0.51 CI95 (0.19, 0.39)\n",
-      "AUC 0.67 CI95 (0.61, 0.73)\n",
-      "Specificity 0.9 Sensitivity 0.43 CI95 (0.21, 0.37)\n",
-      "AUC 0.56 CI95 (0.5, 0.63)\n",
-      "Specificity 0.9 Sensitivity 0.2 CI95 (0.03, 0.11)\n"
+      "AUC 0.75 CI95 (0.66, 0.82)\n",
+      "Specificity 0.9 Sensitivity 0.5 CI95 (0.14, 0.4)\n",
+      "AUC 0.62 CI95 (0.54, 0.69)\n",
+      "Specificity 0.9 Sensitivity 0.36 CI95 (0.11, 0.29)\n",
+      "AUC 0.59 CI95 (0.53, 0.65)\n",
+      "Specificity 0.9 Sensitivity 0.26 CI95 (0.05, 0.18)\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 360x360 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAUsAAAEsCAYAAABKRpF8AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAAsTAAALEwEAmpwYAABp7klEQVR4nO3dd5xU1fn48c+5904v22GXXgQpgqggduw1isauSYzGHhv5WhJjSxOjyQ+N0YgxBjUosWEXNfaKIAIKIkgRlrZ9d/rccn5/zLIiUhZl9g675/167YudmTvDMwv7zLn3nPM8QkqJoiiKsnWa2wEoiqLsDFSyVBRFaQeVLBVFUdpBJUtFUZR2UMlSURSlHVSyVBRFaQfD7QC+j/LyctmvXz+3w1AUpZP55JNP6qSUFZt7bKdMlv369WP27Nluh6EoSicjhPh6S4+p03BFUZR2UMlSURSlHVSyVBRFaQeVLBVFUdpBJUtFUZR2UMlSURSlHVSyVBRFaQeVLBVFUdpBJUtFUVxl2zYPPvgg1157bUFvNsn7Dh4hxNHAXYAOPCClvG2Tx/sADwHFrcf8Wkr5Ur7j2hFM08QwDIQQboeiKAVn0qRJLFmyZKvHVFdXs27dOurr6zEMgyeeeIJx48YRDAa/ddygQYOYMGFCPsPdpryOLIUQOnAPcAwwDDhTCDFsk8NuAB6XUu4BnAHcm8+YdgTbtrnyyisZMWIERx99NOvWrXM7JEXZKaVSKWKxGB6Ph0AggK7rJBIJt8ParHyPLPcGvpJSLgMQQkwDxgMLNzpGAtHW74uANXmO6Qf74IMPePvtt6moqGDt2rVMnjyZm2++2e2wFKWgtGckeOmll1JUVMSSJUvQNI3evXvz4IMPEolEOiDC7ZPvZNkTWLXR7Wpg7CbH3AK8KoS4HAgBh+c5ph/M4/EgpcRxHIQQeL1et0NSlJ1Wt27dmDhxIitXrmTMmDEFmSihMCZ4zgSmSCl7AccCjwghvhOXEOJCIcRsIcTs2traDg9yY2PHjuXUU08lmUwyfPhwLr744u8c01W7Zq5YsYKXX36Zmpoat0NRdiKDBg3isMMOIxqNbvtgl+Q7Wa4Gem90u1frfRv7BfA4gJTyQ8APlG/6QlLK+6WUo6WUoysqNltursMIIbjhhhv49NNPefTRRykpKWl7LBaLcfrppzNs2DAuueQSTNN0MdKONW/ePMaPH88NN9zAcccdx5o1BX9FRXFZfX097777Lj/96U9ZuXKl2+FsVb5Pw2cBg4QQ/cklyTOAszY5ZiVwGDBFCDGUXLJ0d+j4A/znP//hiy++oLy8nA8//JBXX32V4447zu2wdpitzXAuXLiQZDKJ3+8nmUxy0UUX0bt3780eWwizm4q7TNNk1qxZ+Hw+PvvsM6688kqmT5/udlhblNeRpZTSAi4DXgG+IDfrvUAI8XshxAmth/0fcIEQYh7wGPBzuROfw2pa7ke64S10pWVFxcXF2LZNMpkknU4zf/58Pv74Y2zbdjs0pQBls1ls28bj8eDz+aivr3c7pK3K+zrL1jWTL21y300bfb8Q2D/fcXSUs846i3feeYe5c+dy2GGHccQRR7gd0g61tdGglJJnnnmGm266CSklPXr0IBaLcfjhh3Pqqad2YJTKziAUCtG/f39WrFiBlJLrr7/e7ZC2aqdsK1FIFi9ezB/+8AeEENx0003ssssuTJ061e2wXCGE4KSTTuL+++9nyZIlbaNqKSWmaaJpGrquuxyl4pbXX3+dhQsXcvjhhzN06FAAhg0bRv/+/fnrX/9KaWmpyxFuXSHMhu/ULrjgAj7//HPmz5/PRRdd5HY4BaF3795EIhFqa2sZNWoU69evZ/fdd2fMmDF8/PHHboenuOC5555jwoQJ3H///Zx11lmsWvXNisJAIFDwiRJUsvxBVq5cyYoVK2hubkbTNNxe0lQoDMNg33335YsvvuCuu+7ivvvuo6SkBE3TuOWWW9wOT3HBBx98gKZplJaWous6Cxcu3PaTCoxKlj/AlVdeSTAYRNM0ampquPTSS90OqaAIIdB1HU3TsG0by7Lw+/1uh6W44Mgjj8RxHJqbmwHYfffdXY5o+6lk+QPU1tYSjUbp1q0b4XCYn/70p26HVHAikQh//OMfAejevTsTJ050OSLFDYceeij//ve/ue6665g+fTqVlZWbPe7999/n4osv5s477yy4NcpqgucHuPrqq7nxxhsBOPfccwmFQi5HVJjGjx/P+PHj3Q5Dcdlee+3FXnvttcXHV61axaWXXoqu63z44YcAXHXVVR0U3bapZPkDnHjiiRx44IFkMhl69OjhdjiKslNbtWoVuq4TiURoaWnhyy+/dDukb1HJ8gcqKytzO4SClUql8Pv9XWphvvL9jRo1iu7du7N+/Xocxym4y1oqWSo7nJSSTz75hD322IPKykoeeeSRLW57VJQNgsEgTz31FPPmzaNXr14F939GTfAoO1x9fT319fV069aNxsZG7rvvPrdDUgqclJKJEydywAEH8Le//a0gr/+rZKnscJqmIaXEsiwgt+hYyYnH43z88cdqTe4mZs2axbRp0wgEAixYsIB77y28hgnqNPwHchyHGTNm0NLSwnHHHVewhUs7UklJCX379iWRSDBixAh++ctfuh1SQWhsbOSkk04iFosBMHXqVIYMGeJyVIXBsiyEEGiahhCCbDbrdkjfoZLlDzRx4kQef/xxAB555BGee+65Lr//WQhB//79kVKybt06Pv74Y4466ii3w8qrbTXnqq6upqGhgfXr1xMKhUgkElx00UUMHz78W8d11dJ1Y8eO5ZBDDuGll16iT58+XHLJJW6H9B0qWW5BezvTLViwoK3R0sKFC7ngggu+s0ulK/4CzJ8/H9M08Xq9XHPNNYwePbpLrxxIpVJtlybS6TS2bRfkdTm36LrOpEmTuP322wu2Y6pKlj9AKpUiEAiQSqUQQuDz+VQ/nlbZbBav14vf7yeTyZBIJDp1stzWh+GGrbDXXnstzz77LGPGjOHCCy/s8mchm/J4PG6HsEUqWW5BezvTDRw4kEMPPZTm5mZOOukkysu/0xGjSxoyZAiLFy+msbGRY489tuCWgbhF7Wbaealk+QNpmsZpp53mdhgFp7y8nAcffJBEIkG3bt0K8rRKUbaHSpZK3oTDYcLhsNthKMoOodZZKoqitINKloqiFJR33nmHa6+9lieeeIJC6l2oTsMVRXGVlJJ77rmHt99+mxEjRvDEE0+gaRozZszA4/Fw4oknuh0ioJKlsoNIKVm0aJGqhK5sk5SSKVOm8Morr1BfX4/P5+P999/H5/Mxf/78tvYTzc3NLFiwQCVLpXP55S9/yZtvvolhGPTs2ZMBAwa4HZJSoN566y3uvPNODMNg/fr1SCkRQlBZWYnH4yEej7NixQqAglpypq5ZKj/Yv/71L5577jmSySSpVGqbO5+Urm3NmjVt+8ABotEoHo+HtWvXkk6n8fv99OjRg27duvHkk0+6HO03VLLcQV5//XVOPvlkrrrqKpqamtwOJ68WLVrEmWeeydlnn82SJUuYOnUqoVCIYDBIOp0mGAy6HaJSwI488kgikQipVArIFaOB3FIzXdfbdjXZtk1RUZFrcW5KJcsdYP369UyYMIGvv/6aN998s61BV2d1/vnns2jRIhYuXMjFF1/M4MGD8Xg82LaN3+9nzz33dDtEpYBVVFQwY8YMpk6dyoABA0gkEkgp8fv9hMNhJk6cSDQaZejQodx6661uh9sm79cshRBHA3cBOvCAlPK2TR6fBBzSejMIdJNSFuc7rh2pqakJIQTBYJBEIsGaNWvcDilvpJQ0NDRQUlKClJL6+nqmT5/OpEmTaGxs5JJLLuGuu+5yO8yCIaXk66+/JpPJ4PP53A6nYIRCIXbffXd22203Bg0aRFFREY2NjUyYMIGRI0dy/PHHux3id+Q1WQohdOAe4AigGpglhHhOStnWYV1KOWGj4y8H9shnTPkwaNAg9t57b2bOnImmaVx22WVuh5Q3Qgguv/xy7rnnHgB+9atfEY1Gufnmm12OrPBIKbn22muZMWMG8XicUaNGuR1SQfL5fPy///f/3A5jm/I9stwb+EpKuQxACDENGA8s3MLxZwI73W+dpmlMnjyZ5cuXU1JSQmlpqdsh5dUll1zCiSee2DaDqWzeunXrePnllykpKcG27YLrVtjRHMfhlVdeoba2lmOPPXanKzqT72TZE1i10e1qYOzmDhRC9AX6A2/kOaa80DSNgQMHuh1Gh6mqqnI7hIK3YcIimUximibRaNTtkFx11113MWXKFAD+/e9/M2PGDHcD2k6FNMFzBvCklNLe3INCiAuFELOFELNV/xJlZxCJRPjHP/5B//79KS4uZvfdd3c7JFe9/vrr+Hw+dF1n5cqVPProo6xYsYLVq1e3zYhLKZk3bx5z5swpqK2OkP9kuRrYeFVpr9b7NucM4LEtvZCU8n4p5Wgp5eiKioodGKKSb42NjfziF7/goIMO4sEHH3Q7nA6133778eSTTzJmzJguv7vp4IMPpqWlhdraWoQQ3HzzzXzxxRd8/vnn/PnPfwbgjjvu4Gc/+xnnnXcev/3tb12O+NvynSxnAYOEEP2FEF5yCfG5TQ8SQgwBSoAP8xyP4oJJkyYxe/Zsstksd955J4sWLXI7JMUFv/rVrxg3bhyhUIju3bujaRoej4dAIMD//vc/pJRMnTqVcDhMJBLh6aefxrY3e6LpirwmSymlBVwGvAJ8ATwupVwghPi9EOKEjQ49A5gmC23crWyV4zjccccdHH744dx4442YprnZ41paWhBC4PV60TSNeDzewZEqhWDDShG/3086ncZxHCzLIpVK0bt3b/bYYw+ampqoq6ujpaWFXr16FVTbjbyvs5RSvgS8tMl9N21y+5Z8x5FPLS0tBINBDKNrbbV//fXX+c9//kMgEODZZ59l+PDhnHHGGd857tJLL+Wjjz6irq6Ogw8+mD322OlWhyk7yIgRI5g+fToLFy6kX79+TJgwAa/Xy7x58wDaJsSOPvporr76apej/bau9du9g0kpmTNnDvvssw9FRUU8/PDDDBo0yO2wOsyGxfher5dkMklDQ8Nmjxs8eDDvvvsu8Xic4uLiLt1iIpvNsmbNGiorK7vsNcz+/fvTv39/AHbZZRcAVq9eTV1dHYFAAMdxMAyjoIpoQGHNhu90Ghsbqa2tpby8nFQqxd133+12SB1GSsn8+fOpr69n+fLlhEIhTjnllC0e7/F4KCkp6fKJ8thjj2X8+PEceeSRrF+/3u2QCsbVV1+NEAKPx0NxcTFff/212yF9h0qWP4BhGEgpyWazOI7TpdbRLV++nGeffZa+fftSUlLCwIED6datm9thFbQ1a9ZQV1dHcXExTU1NPPPMM26HVDDOOOMMjjjiCDweD9lslt69ezNjxoyCWj6kkuUPEI1GGTRoEIZhsOeee/KrX/3K7ZA6jNfrRUqJbdtomqYak7WDz+dDSkk6nQZyBSWUHF3X+ec//8k999yDz+fj9ddf57rrruPRRx91O7Q26prlD7TLLrtw7733uh3GDjFp0qTtqkXZq1cvlixZQiAQIJ1Oc+mllwK0vcaG29/XoEGD2tW/fWdRWVnJwQcfzKuvvsqBBx6o+odvQtd1hBDouk40GiUWi/H+++9z9tlnux0aoJKlspElS5bwxaef0rOdqzXKgLLK3OjI+upLWlrv13ObMWiZ/+n3jmV14Syv22GEEFx55ZVceeWVbodSsIYOHYphGDQ3NyOl5Mgjj3Q7pDYqWSrf0lOHSwugdu+9SbcjUHY0x3F47rnnWLNmDccff/xmZ7tLS0t5+umneeutt+jfvz/77ruvC5FunkqWyg9iOpKVmSxlhkGxp3AWECuF5+677+Zf//oXUkoefvhhXnvttc0e16NHD84666wOjm7bVLJUvres4/D7FTXUWDbSkfxf73KGhLrm2kFl29577z18Ph/BYJBYLMbXX39NdXU16XSatWvXFnwlKzUbrnxvS1JZaiyHcCiM5vPxSoPaxqhs2THHHEM2m6WpqYlQKMTLL7/MggULWLZsGaeccgrJZGFfe1HJUvneygwd23FImSa2ZVHpVScqypade+653Hrrrfj9furq6njggQfwer2Ew2GSySSrVq3a9ou4SCVL5Xur9Hm4pEcJvXE4OOLnpIqusyhf2X5CCNatW0cqlaKiogLbtkmlUsTjcaLRaMFtb9yUGgooP8joaIjR0ZDbYSgFatmyZVx11VU0NDRw3XXXEQ6HEUJgmibBYJCSkhKCwSB///vf+eUvf8miRYs4++yzC7KPlRpZ7iDZbJbJkydzyy23sHjxYrfDUZSC8Jvf/IaVK1dimibXX389hx12GEceeSS6rnPiiScybNgw+vfvz6OPPsonn3zS9nu0oQpRIVEjy3YwTZN33nmHQCDAvvvuu9liELfeeitPP/00QghefPFF3njjDSKRiAvRKkrhSCQSGIaBx+Npax1xxx13tD2+YZdXc3Nz20J0x3GYN29ewbXhUCPLbZBScvHFF3P11VdzySWXcPvtt2/2uLlz5+L3+ykqKsI0TdauXdvBkSpK4bnxxhuxbZuGhgYuvPDCLXZ0PPDAA4FcP/FQKMRHH33UkWG2i0qW25BIJPjggw+IRCKEQiGmT5++2eNOPfVU0uk0sViMXr16tdXr64paLJvbvq7hisWrebm+ZdtPUDqtsWPH8vHHHzN79uytbvMcMWIERUVFhEIh/H5/QU72qNPwbQgGg1RVVVFfX4+Ukr333nuzx5199tkMHz6cmpoaDjjgADweTwdHWjger2liqSnx+4M8WdvCiJCfXn6v22EVnA0ViAKBgNuh5JXH49nm78OAAQP405/+xL///W923XXXgtw/r5LlNmiaxtSpU/nXv/5FKBTi/PPP3+Kxo0aN6rjACljSlghN4NE1NCFIOYVTkzCfpJRUV1dTVFS0zdqmq1at4qc//Snr1q3jiCOO4M477yyofjNuOP744zn++OPdDmOL1Gl4O1RVVXHDDTcwYcIENWnTDj+uiGKYJg0tLYwM+RgY6PyjSsdxuPzyyznuuOM46KCDtnnN7R//+AeNjY1069aNd999l48//riDInXHK6+8woQJE3j88ccLqqDv9lDJUtnhevm9nFwRocprENAE5k76y7E9vvrqK959912Ki4vRdZ277rprq8dvOPW2LAspZafux/PJJ59wzTXX8NZbb3HzzTdz1VVXMXPmTLfD2m4qWSo73IpUlkdrWmgxvHyUyPJcbeef5CkqKkJKSSqVwrIsunfvvtXjL7vsMkaMGIFlWZxzzjmd+hLO0qVL0XUdn89HLBZjxowZXHDBBVsdfTuOs8XWym5RyVLZ4ZptG13T8BkGmq5Tb3XCSr6b6N69O3fccQeVlZXsv//+3HjjjVs9vqSkhP/85z98/PHH/OpXv+rUjdwOOOAAvF4vzc3NeDwegsEg2WyWDz74YLPHz5w5k9GjR7P77rvz4IMPdnC0W6aSpbLDDQ36qPJoNLS0kM2kObi4a2yHPOqoo3j++ee59957KSsrczucgtGjRw9efPFFLr/8cjKZDLW1tcRiMT788MPNHv/b3/6WlpYWEokEf/jDH2hubu7giDdPJUtlh/NqGvtEgrnWpoaHB9c1YnaRGXFl88rLy3nttdfwer1ts/5ffvnldyZ7li5dSn19PdlsFr/fj2VZvP32226E/B15T5ZCiKOFEF8KIb4SQvx6C8ecJoRYKIRYIIQonHZuynaLWTazWpK82ZQgGAgQCQZptBzWZwvr+pNb6urqOOmkkxgxYgS33HLLTjszvD1qa2uZN28ey5YtIxQKYVkWHo+HZDLJsmXLgFxtheOPP56DDjqImpqatssSmqYVTH/1vK6zFELowD3AEUA1MEsI8ZyUcuFGxwwCfgPsL6VsFEKo5tM7qYRt89tl68gIjXg2i8eWZA0LD1DmUUt6Ae69916WLVtGUVER06dP55hjjmHs2LFuh5U3s2bN4oILLkAIgWEYZLNZhBBomoau69TU1DBw4ECef/55PvvsM6LRKC0tLViWRTKZRNO0tj3lbsv3yHJv4Csp5TIpZRaYBmza//MC4B4pZSOAlLImzzEpebIkmSUjNMKhEKFAgB6G4NCQl5v6dSOgqys+QNtIUgiBEKJgEkG+TJkyBSEEkUgEx3G4+OKL20aN6XQa285N/lmWhWHkPlA1Lfd/pbS0lGg0ypAhQ9wJfhP5/h/cE9i4/HF1630bGwwMFkK8L4T4SAhxdJ5j2uGklDz77LPceOONvPfee26H45oePgPbtoml0ziWxUHFIc6sLKHS13W3fm7qkksuoWfPntTV1XHUUUd16lElQL9+/XAch0QigeM47L777hQXF1NWVkZpaWnbh8fxxx/P6NGjSSaTlJSU8Mtf/pL99tuPm266iXHjxrn8LnIK4dzIAAYBBwO9gHeEECOklE0bHySEuBC4EKBPnz4dHOLWvfLKK9x4441omsazzz7LyJEjWbRoEQcffDATJ07sMvvEu3k9XNunnHebEvT1Bzi0JOx2SAWnW7duvPTSS0gpO/VyoQ0uv/xykskkH330EePHj2f//fenb9++rF69Gtu22wpmBINBpk2bhm3bBbvtM9/JcjWwcfmQXq33bawamCmlNIHlQojF5JLnrI0PklLeD9wPMHr06B90VXzSpEksWbLkh7wEQNtr3HbbbaRSKUKhEC0tLbz//vuEw2GmT5/O4sWL6dWr11ZfZ9CgQUyYMOEHx1MIBgf9DA523t0oO0pXSJSQK6Lx2WefsXbtWv7xj3/g9Xp5/PHHeffdd+nevTv333//t44v1EQJ+U+Ws4BBQoj+5JLkGcCmDYGfAc4E/i2EKCd3Wr4sn0EtWbKEzz6dR0Rsu9qLlJL1zXU0xpsJeP30Lq9C13L/oKbM5A7KOmTSGWzTxjJzM33SdnBsh/XL12DVbblrXUymdsh7UpRC9OGHHzJz5kwcxyEUCjFt2jTOO+88jjrqKLdD2255TZZSSksIcRnwCqADD0opFwghfg/MllI+1/rYkUKIhYANXCOlrM9nXAAREWC0MWCbx61L1bMkvpxIKEwqncYbl+xRusnzPLB7z740ZGMUe8O8VzOfxpYYFb5iDisaiaFt+cc828rr54KiuGrKlClt38fjccrKypg6dSpPP/00o0ePxnGctgkdyA1O/vCHP/D0008zdOhQ7r33XkpKSlyI/Lvyfs1SSvkS8NIm99200fcS+FXrV8ExHQshBLqmo2mCrG1t9rgib5iQ4ceRkh/13A9bOhha4Z5SKB3Ltm3q6+tZtGhRwczudoR0Og1ANBolk8kQi8W4/fbb8Xq9LF68mB49ejBw4MC24z/88EOeeuopwuEwCxYsYPLkyfz615tdnt3h1HqObegRrKDME6GpuQndEgwv7rfZ41bG1/Pfr9/gv1+/wfympSpRKm1M0+SDDz5g7ty5nHbaaVustt8ZXXTRRW1rJb1eL8FgEKCtBe7y5cu/tXzKsqy2dZhSShobG90K/TtUstwGXWgcUTWG0/oewo/7jCPsCW72uFkNiwgEgxRFi5jfuJSss/kRqNL1LF++nEQiQSgUwufz8cgjj7gdUoc58MADufHGGykpKWHUqFH8+c9/xnEcmpubsW0b0zSpr//mqtv+++/PuHHjWLVqFU1NTbzwwgsF8/NSybIdhBD4dC/aVmYwvZqBZdtYtoUmNHS6xmynsm0byrWlUikymQy77babyxF1rPPPP5+PPvqIadOm0b9/f0499VQikQhVVVVtO3s20HWdO+64A7/fT9++fYlGo9x9990uRv8NlSx3kH6hSsxMlkwqw8HdR7XNmCtKUVER++67L2VlZZx77rlcf/31bofkqtNPP53evXtjmib9+/enuLgY0zS54oorGDp0KKeffjo+n494PE4qldpmbdCOUgiL0nd6KxPrmd+8DI/Pi5nJYgj1Y1W+raioiD322KPTrKf9PjKZDL/5zW/aWksIIejWrRtCCN544w3eeecdSkpKmD17dlvFob333pu//OUvbocOqJHlDlGXbkb3GAT9AQyPQVM25nZIilJw7r//fl544QWklITDYYLBIIsXL/7WMRuKZ4RCITRNY9myZQWzf14lyx/AkQ5vrPuE+U1LSaaSxOIxHMumR3DzjeQVpba2lmuvvZarrrqK5cuXux1Oh6qurm67PmnbNpZl4fXmmtkNGzaMkSNHkkgkEEIQj8cxTZOWlhZ+85vfuBl2G3W+uJ3Wpur5qG4ButAYGO7J+kwTZcWlxFMJuulF7FMxnJChtvspm3fppZeyePFihBDMmTOHt99+u8tsfTznnHP43//+h2maZDIZBgwYQJ8+fVi7di3HHXccmqaxzz77cMghh/C73/2OaDSKz+ejpaUwejipkeV2kFLy5ro5OB5BRnf4rGkZEokjHZBQ4ouoRNnKkpI5sSSfxVNdosBte61YsYJQKEQkEqGmpqbgmnLl07Bhw3jjjTd4/vnnWbRoEa+99hqxWIyFCxeiaRoej4d58+ax//7788tf/hLHcbBtu2AmxNTIcjtIZG5njmHgOA6WzNLDX8aypjVoQiNatPk1mF3Rnavq+DJtIqXk4KIgP6ksjC1rbjvnnHO4//77EUJw4okntp2GdnYvvvgiN92U27iXzWZpbm7G5/O1nY7HYrFvfq8si2uvvZZLLrkEr9eLz+dzOfocNbLcDprQ2Kt017ZmSvuUDyNmJQkHw0TDUWbWL8RyOn8nw23JOA7z4ykioRChYJD3mhNuh1QwLrvsMv773//y8MMPM3HiRLfD6RCmaXLddde1bflMJBIEg0ESiQSGYRAKhRBCEAgEkFJy4okn8tBDDxGJRAomUYIaWW63YcX9GBCuYl7jV3wZW0XcTOMN+tB1HUe2npLTtddYeoWgwmtQl0ySdSSG7bA2Y1KligADMHToULdD6FDLly9v69Bo2zY+n69thjudTqPrOlJK4vE4wWCQoqIibr/9ds4666yCqgWrRpbfw6KWlSxLrSOuZbGwSCYStLQ0s3vJLnj1wvnHdYsQgl9UlWJms/h1Db/Px6Prm9wOS3HB888/z/jx49vWVXq9XjKZDPF4HAC/3082m0VKiZQS27ZJJpPf6gJZKNTI8ntoMZPohoHPk1uEfkD5blQFyrZaiq2rKTZ0ArpO2O8nlc2idY0JX2UT999/f1styw0JUkpJcXExuq5jGAamaeLz+YjFYqTTaXw+H/fcc8+3SrcVgm1GI4Q4dKPv+2/y2I/zEVQhaszGeGH1Bzyz6l0q/MVYGZN4PEZI96lEuRk9fB6OK40Qi8UocmzO6l7sdkiKC3r37k0mk8E0c5N9G06/Y7EYJ510En6/v+00HKC4uJh33nmH/fbbz82wN6s9qXvjvUZPbfLYDTswloL29vq5JIWJ7YFPGxYzvvf+HNF9DMf13O9biTJpZVgWW0NDRu3i+XG3Ih4c2ps7dqmiu1ddnuiKJk6cSDQabbs2CeD1eqmoqOCII45g6NCh+Hw+PB4PP/vZz9ra4V522WXsueeeXHXVVQWzvKo9wyGxhe83d3unUF1dTUymtqtKeYudIuD1gybISJMFzmo0Q2OF/U15KdO2WLJ2OZqmYdk2fct7EgmEtvq6MZmiurr6e7+XQpayHWK2TbnH2GrFps5s7ty5vP/++9TV1VFe3vV2dhUVFfHhhx/yk5/8hFmzZmHbNo7jEIvFGDNmDNOmTWPcuHHce++9zJw5k8cee4yWlhbeeecdIpEIb775Js8//zw//rH7J7HtSZZyC99v7nan5DgO0UCYhngjIOheXL7Z6ynJ9Df7WtOZNE3Jlm0my85qeSrDbStrsSQMDHi4tk83jC6WMBcuXMg555yD4zjE43FGjx7tdkiuSCQSmKbZ1rnR5/ORTqe/tS98xowZXH311QghsCwLXdfbRqLZbNat0L+lPclygBDiOXKjyA3f03q7/5afVrh69eqFVZdsVw8eKSUvr59Jyk7h033sEu7B2LJhmz22OZDghYZaspks0nQYHurDYKP3Zo/dYLa1bJvdH3dGz9fFkB4fRT4vyxNxliQzDA11rd1N8+fPR9M0iouLSafT3ypy25XcddddfPnll2iahtfrzTX0k5KVK1e2HTNlyhRSqRQ+n49sNtvWLnfPPffkhBNOcDH6b7QnWY7f6PtNayUVRu2kPMo4JvXZFoqjRdiOzcrEesaWbz5ZFnlDHF45mhXxtZSFowyM9OzgaAtHiUdHptNkLA3HkUT0wprZ7AgVFRXU19dTW1uLpmlUVFS4HZIrNpx6ezyetsmesrIy9t9/f15++WUAVq9e3baEKJvN8qc//YnRo0cX1DrLbSZLKeXbQohRwC7AAinlF3mPqoB4NYOg7iORSiAdSQ9/2VaP7x4ooXtAbe07paKImG2zMp3ltO7F9PJ3jW19G3vggQfalsg0NDQQDofdDskVl19+OTNnzuTLL78EcmdrI0eO/FbXxj333JMVK1aQyeTaSycSiYJKlNC+pUM3AY8DJwMvCiEuyHtUBUQTGkf3GMugQE92i/Rj/4oR3zlGSsnHdV/w2IrXeXXtLLJ2YczeuSmga1zas5zbBlYxrqRrJgnTNDEMg2AwiBCiyxYU6dmzJ6+++irhcJjS0lJCoRBvvPEGt99+e9sxZ511Fl6vl7KyMsrLywum787G2nNudDowSkp5JjAGuDC/IRWekOFnr7JdGVEycLNdG9em6vkqvppgKEi9FePzJtULXIGbbroJj8dDQ0MDgwYNwu/vWtdsN+bxeOjXrx/xeJxsNovP5+Opp75Zidi7d28MwyCdThOPxykqKnIx2s1rT7LMSCmTAFLK+nY+p0uxpdPWvlMIgSULo7Kz4q6RI0fy0Ucf8dlnnzFo0KC2++fOncvbb79dMOsHO8ojjzxCKBTCcRyklPTo0aPtsQ2TPhsWr2/YS15Itmc2HHIz4AM3uo2UsjCmqjpI2s7QkIlR4o0QMHIVUcp9Uco8UdY11xM2AuxWvFMuElDyYN26dVx//fV8/PHHDB06lMmTJ3PvvfeiaRojR45kypQpnb74b319PZdffjlLlixhzJgxvPPOO3i9XpYuXUo4HG5btO7z+ejevTvJZJJUKuV22N+xvbPh0AVmwLckZiZ5cfWHoAmkIzmu5z6sSdYxuyF34Xqv0l0ZVtSv0//nV9rv+uuvZ86cOViWxcyZM1m2bBmBQACv18snn3xCfX19p1+sfvfdd/P5558TDod577338Pv9VFRUEIvFaGlpIRqNEgqFGDt2LO+99x7BYJBrr73W7bC/o12z4e15ISHEU1LKkzdz/9HAXeTqlj0gpbxtk8d/DtwBrG696+9Sygfa83d2tFWJGjA0wsEQ8WSclfH1zG36ikg4ggTmNi5huBpVKhvZsGxICIHjONTX1xMKhfB4PESj0YK8NtdekyZNYsmSJds8bu7cuaTT6bYF56lUikQiga7rRKNRvvjiC8aOHQvkSrbFYjHGjx/PbrvtxsCBA9sdz6BBg/LaPXNHVn/4zgpvIYQO3AMcAVQDs4QQz0kpF25y6H+llJftwFjyIuoJYVsWqUwKy7Lw614MoZPMpgFUC1zlO66++mouvPBCEokEfr8fv9/PbrvtRr9+/Tj22GMLpnPh97FkyRI+/fxT2MZKOTNqklmXIV4fRyDw+r04toMW1MhoGRItCSzbIhgK5sqz+bzoms5nn31Gs7cZ0Z6SVY075j1tzY787d7cuoi9ga+klMsAhBDTyJ3Wb5osdwq9QhXsaQ5iVsMiQDCzLrfkNJvJICWUeiPuBqgUnIMPPpgbbriB3/zmN2SzWcLhMJdffjnXXXcdr7zyCmVlZTzxxBOUlpa6Her3UwLa4Vuf8/Xho+exPTGbTdY9tI5AUQDbssmQQTtJw7vWi/WERcbO4DgOuqaj6RoIEAcLNO+255Sd/+X/QyffM9s9gVUb3a5uvW9TJwsh5gshnhRCbH1/oMsChh+v4aW0uATDZ5BxspQXlVEWLSFlZ9wOryA0mTbXL13LOQtX8a819ThddH0hQENDA3/961+JRCJ4vV723HNP5s+fnytdV1REfX09r776qtth5p2dsMmuzWIUGyTjuQmc0LBc3QRflY+yY8qgCjS/RjKZJB6LExoaalei7Cg7cmT5fWc1ngcek1JmhBAXAQ8Bh256kBDiQlrXePbp0+d7B/lDhQ0/tm2TzmawLYcKXzGxWAyJZHi0n2txFZJn6pqplYLSaJQPY3H2K9q594W399rc5iQSCVpaWggGgziOw+zZs6mtrSWRSGBZFul0mscff5x33nmn3a+Z72tzO5oVs1j78Fo0WyObyuLt6aVsvzIC/QNtx4QGhbATNla1RbAkSDKexN+rsP7PtDtZCiGOB16UcouLCK/bzH2rgY1Hir34ZiIHaFu7ucEDwO1shpTyfuB+gNGjR7s2VCn3F7Nv+TCWxFbTLVLJyOIBNGRjaEKjzBd1K6yCJDtJUaolS5bw5eef0LfEatfxqYzNZyuayGQdBlQFKQtr1DS3gJQM6eGhTFtDU7FGQyxBn3I/RdYK0qu/btdrf924810XT69Mo0kNv+FH82pk12VJrUgRHPDtbqhCCBwr1/5WIhHewlpVsj0/+dOBO4UQTwEPSikXbfyglHJz5xKzgEGtFdZXA2cAZ218gBCiSkq5tvXmCUBB7T23pcOc+i+py7YwONKLgZGeDGj9sqVDXbqJgOEn6lFtcDc4sbyIJalaVsdijCsKMSRYOB36vq++JRY3HdHQrmOvf8pE4KE47GPV+hYe/oWHtKUR8QmKgkkg2XqkBmRbv9rn96/tfNc2PeUeLMsiK7NkzSyGx8CszS3IN5tMUstSCJ+g6YMmHNsh1hAjODBIdn2WxqZGivYuQvO5fzre7mQppfyJECIKnAlMEUJI4N/kTqE3WxZcSmkJIS4DXiG3dOhBKeUCIcTvgdlSyueAK4QQJwAW0AD8/Ae9ox1sQdNyvkquwev18lHdQoq9Ecp8URzp8MqamTRbSRzH4YCKEfQNV7odbkEo9uj8aUDX/VkkMhJd1/AYOgJB1oZeJe7/srvF191HxQkVrH9qPdiQtbPodTpWi8W6qevQHI1sMrcFMlIeIR6Lk1mTQa6T2NImW5el+0nd3X4b2zfBI6VsAZ4EpgFVwEnAHCHE5Vt5zktSysFSyoFSyj+13ndTa6JESvkbKeVwKeXuUspDNh2xuq3FTKAZOl5Prttc0srtLGjMxmgyE4TDYXwBPwtb2ncapXR+F44zwErR0NTCgYPh6U9sprxvkcx2jssS30egXwAcCAQC+Pw+7LhN6usUAoGVttCFjpW1yMazOI6Dk3XwhXz4A36y63ee4r8ACCHGkxv17QI8DOwtpawRQgTJLQW6Oy8RumxoUV9Wra0hbsYIan4qA2W5HsdmEtuxSWfSWJZFcWDnOz1S8mN4T40nL/WSzEouetgibhpIKVlRZ3HL+MIqO9ZRpC1BgOExkI4kk83g7+OnwW5A2pJgOEgmmyERT+Dt4cXr85KoSSClJDyqMKpWbc81yx8Dk6SU35q2k1ImhRC/2LFh5V+7e/Do0L+qD1nLxO/1Mc9ZybqmGurjzTjCIZFJUhoqRi/ybVdPn43jUDofQxc4EpqSktJiP6blMOfrONc9YbJHH8Fpe+tdqi+R5tGI7hklPj+OdCSRvSLofp2qM6tY9991ZO0stmljeA1oBn2ATnR0FM2j4etVGNe8tydZrts0UQoh/iylvE5K+foOjiuvNq4A830sfnUFkWgEKSUtLS2MOXCfH1So9IfGoxSmogAM66GxpCZB1nLIWrC4zs+CtRlKQg5H7fbdcn+dlRW3cEwHERS5U/AvUqz+ajVVZ1fR64JeNH/STMtHLYSKQySbksQ/i5Ndn6Xbj7sVTK2F7UmWR/Dd5UHHbOa+gvdD16j94he/YPbs2SSTSYLBIJMnTy64hvCK+4QQ3HaKwazlDp+vFrwwXycU8NBk26xqaN8ypM5ASsm6aesQzQJNamiWhmbk9ssnvkxQNLqI4n2KyazKEF8Xx8k4RMuiZFNZmt5pouL4wmjH0Z5K6ZcIIT4DhrTustnwtRyYn/8QC8+dd97J2WefTWVlJfvuu69KlMoWeXTBfrvonDraIOixicfjGDLD4cO6zv8ZaUqsZgufz4fPnzultkwL27ExornxmtAE3U/pTsnhJWh+LXeNM5sbkRaK9owsHwVeBiYCv97o/piUsn0LzzqR5cuXc8011xCLxejevTvBoFpfCZCwHVZnsvTweQjrXef0sr1KQoJ/nethaa2kd4lOSagwTi07gp20AUgmk0gpc83LSjxERkUIDvrm90fogvCwMC0zW4itj+X2h6/PJUwj7P5i/Hb1DZdSrhBC/HLTB4QQpV0tYf7f//0fy5Ytw+PxsHjxYo488ki3Q3Jdg2lx4/L1WAg0Kfld/25083pwpGR5OotPiC7ZsGxTIZ9gZK+ukyQBUl+nqH22NrcUyO9D82kkEgm6n9odI2R853qkEAI9qBMsCeL1e4nH4jgpBwpgQry9I8sfAZ+Qqyy08buTbKY0W2fW1NSE1+vF6/W2fUp2FtXV1cRsuDe57WO/9bzmFC1CJxwMkkgl+X91SfoUF7GotoH6VBopJX2LovQubv920NU2tFRXb+c7UApNbG4Mn8eHJ+ohE8sgEHgiHtY9sg406H5Kd3xV357tjo6NUvd8HVkzi6fSg6esMJZbbfPCiZTyR61/9pdSDmj9c8NXl0qUkKt8nU6naWxsZMCAAQXXrtMNAY+BY9tksllsyybgMbAdh5pEkkg4TCgUorpls5u8lE7OW+HFtMxcAWS/ILpPFJmWRCIRfIaPpg+bvvOcYP8gPc7rQbfTu9H95O7tq2fZAbY5shRC7Lm1x6WUc3ZcOIXv8MMP58MPPySbzfLb3/7W7XB2qF69etHSUMul23kZVgb8/E+L8kksxciKCMeUBnGARYaGmc2A47Cr39iu1703CdFevbYvkJ3M2iaHhz+w8XngnP2MTnkds2hsrhJ8tjZLxW4VNLzRgJN2yGpZLGnhC29+DaURNgriOuXG2hPNX7fymGQz5dQ6u1AoRCgUcjuMgiGE4IjSCEeUflP8WAd+06eCp2pb8Gk6Z3Qrdi2+jpY2JfOrHcrDggEVmz95k1Lyf49bxLJekJIVdSZ3ntn5rusKXVC8XzEAmfUZyECgKEA6nkb4BKUH7Tw739rTg+eQjghE6Xx6+b1c2btzN+PalGVLJkwzWdOkYdkWe/QVrG6EPmWCCUcYFAdzo0fThrqYpKLUh2VLvq7v/G1xjaiBg4N0JLpfJzgyiObfeZZQtec0/FAp5RtCiB9v7nEp5dM7PixF2TmtbJBUNwoi4SDVtXHe/lIgkVQ3CTQsbm7dG+41BAcP0XhvSZx4RhLySj5carPvwM617Eraksb3GsmuyRIaEaLy9Epi82MEigJE9/hmws8xHZo+aMJqsojuFS24wr/QvqpD41r/PH4zXz/KU1yKslMqDws04dAYyyClIBQKEQgEsGyojX276tBBgwWxtI3jSHTDx59esLDszlWZqGVOC8n5SfQWncY3GpGWJLhLkEx1hqYPm5BW7v02vtNI6rMUco2kZnoNdsJ2OfLvas9p+M2tf56b/3B2Lo2NjSQSCRoaGnbehlPKDhUNCG4/1cO0j0ze/Uri2CbZrIkuLM7ZPzeqbIhLHp9t8cQsh2AwjCMlsWSagAcsB4xONLi0mi0M3cDj95C1smTWZ2h8qxGP5iG7KgsOlBxUQnZtFjtt4wgHqUmsmIUeKqwfxPaUaCsDbgYOIDex8x7w+03aQnQZL730Eh999BGGYXDiiSfy4osvEomo7o4K7FqpcfOJXhatdXjm0ywRP5y+t5fysIaUkqufMFkfM0hbDtGAQNoS23H4xYE6fk/nmhGPjIywbtE6zJiJFtJwsg5O2sE2bGzbzk36AI6V6+qo6zqpdAqjqLBmwmH7CmlMA94BTm69fTbwX+DwHR3UzmD69On4fD78fj+JRIKFCxe2NYpXFIAhVRq/rvr2lS7LgVUNkm6lAYSm0xiLURoU3HiywYGDC2sktSN4u3np+YuemE0mLTNbaHq7CU3TCAQCJJNJfD1alw5J8Ia86IZORmZye8MLzPZMRVVJKf8gpVze+vVHwP1a7y4ZM2YMpmm27Xft37+/2yF1uAbT4q5Vdfz56xpWpAqjmnWh8+iCsQM0WuIJhJPl1NEaz17h7ZSJcgM9oGM1WJjVJpGiCJrQSGfS4IXQrrkleEX7F5FKp4gn4oSGhBCaoPG9Rhrfb8ROF8b1y+0ZWb4qhDgDeLz19inkeut0Seeffz7PPvsssViM++67j27durkdUoe7u7qeagc0TePPK2v4++Ce6AVSe7BQ1LRIamKSwd0FXiP3s7nlBIOPlzsYumB0P61LFAGWTm6kKIQAAWbWJDImgrc8t7Y0PDhMoGcAx3QwigzWTl0LTbnnZlZlqDzD/Z5O7Vk6FOObPeFXAf9pfUgD4sDV+QqukGmaRt++fQEYNmyYy9G4o8a00Hx+NE0jkUqRdSQBvfP/4rfXpysdbppuITRBZVRy99kefIbAaC3b1pWEhoRIfJGgaWkTHq+HSGmE5BdJOOybY/SQjo6OlJJsTZai0iKklMTWF8ZW2fbsDY9IKaOtf2pSSqP1S5NSqkbZXVhE02iIJ6hv3fftKZA9vIXi6U9sdI+fSDjMuhaNRWsL7zpcR3FSDkX7F6EFckV/04lcgZXNXZsUQhDcJUginiAZTxIaXBi75bZrykkIUQIMAtpWjG7aakLpOlJSUh4KYWiClliMKWsbqDdtflQeZXio8BYVd7Q+ZYJPV5kk0uA4Dt0iO89ulR0ptTxF7fO1CCmQGYnm1chmsmBD3St1VBybq4QubUlqZQokeCo8ICA4MEhoyE6WLIUQ5wNXAr2AucA+wId0wb3hSs64ohAvNcaxhSBk6MxMZNEND5NW1XHHwEpKPIW3/KMjnbOfjpQ2S2vSCAFXPmaxV1/B/x1lYHShyxUtn7Tg9/qRUoIJPq8PTWjYwia1NNewT0pJzbM1mGtMrKSF4THQPBot9S2EhxVAMUu2bzb8SmAM8HXrfvE9aLsE2zlJKXnssce4/vrrmTlzptvhFJyTKqJc3auMS6qK6eHzYHg8BL0ehBA0WoUxg9nRHCl5f4nN61/YSHI9xI8eofP5Gg3hCfHuV4IZn3etn41RamBaJlJKLMsilU6RTqdxHAd/79wZiMxK0l+nCYVDIHMJNRAOYDaYBbOMaHs++tNSyrQQAiGET0q5SAixa94iKwCPPfYYf/7znxFC8OKLL/L0008zcOBAt8MqGEIIhrSebgsEd6+ux8pk6Ok16NNFK6Pf/brF/xbmfjYvzrP46+kGyYxECIGhayA0kpnOUzC6PUoOLKGRRqwGi4pxFThZB7PRxFPiITwiN2oUXoEe1skkMghdkEql0JxcG1xRIKPw7UmW1UKIYuAZ4DUhRCPwdT6CKhTz5s1DCEFRURHxeJylS5eqZLkFoyIBbhtQSZNl0z/gxRCC95rifBJLMzLs4+DicMG0NM2nt7+UBINhDF2wYE0LKRMOHqLzwnyT5XUt9CgWHDWiaxWMFrogtGsIza/hLfNixS0y1Rk85R40I3dyK4Sg8vRKmmc14zW82CmbxOcJrNUWLZ+2fKvohlvanSyllCe1fnuLEOJNoAiYsa3nCSGOBu4iV+LwASnlbVs47mTgSWCMlHJ2e+PKpxNPPJEZM2YQj8fx+/3stddebodU0Cq8BhXe3H+pz+IppqxrwvD5+aymhaius1e08zd3262nYM7KFAhBj2JBwJNLBPf8xEM8DWE/XWJd5QZSStZPX4+5JncaHt03SmxWDE1q2LZNxYkVBPoEgFwJt7LDygBY+beVREpy24cb324kMiri+oft9s6G78k3e8Pfl1JudduGEEIH7iHXc7wamCWEeE5KuXCT4yLkrokW1IXBfffdlyeffJJly5YxevRovvrqK/79738zZswYxo0bt+0X6MLWZiw0wyDk89Ls2KzOmHSFj5rrjzN47lOblCk5YZSn7RdcEwJDlyxYLelZAqWdsCr65qRWpkh/lSYcDuNIh9jsGLrUCYaDpBNpEosSbclyY5pfwzZz13Y1b2GsItie2fCbgFOBDfUr/y2EeKJ12+OW7A18JaVc1voa04DxwMJNjvsD8GfgmvbG01EGDRrEoEGDmDdvHhdccAEADz30EP/4xz9cjqywjYoEeLqumUQigW7bjI52japMfo/gtL2/+2vVkpJc8ohJPCtAOvy/0z0M7FYYSSCf4vPiIME0TWzLRqvQsJot0ok0pmUSqvpmWVDzJ800vdeE5tMoPqiY2OwYSKg4osL1USVs32z42eROkW9uLdu2D/DTbTynJ7Bqo9vVrfe1aR2t9pZSvri1FxJCXCiEmC2EmF1bW7sdYe8Yn332GbquU1JSghCCefPmdXgMhch0JO83JXi/KYHpfDNr2c1r8OeBVVxSVcxtAyvp4ev81+lsR7K2WZKxvjt7+8nXDvGsTiQcwRH+LjMjrvk1dJ9OOpXGNE2y67NoYQ1ZIhFBQWJJAqvFwk7YNL3dRFAPoiU1ap+rxYpbRPeN4u9RGGt2t+c0fA25xejp1ts+YPUP+cuFEBrw/4Cfb+tYKeX9wP0Ao0eP7vC1BPvssw8AsVgMIQQHHHAACxYs6OgwCs7d1XV8kc61RPi4JcmEPhVtjxUZOmWGzh+/riFmOZzerYjDSne+MnbV1dUkmgx+/9qWR8e2I/lkcQPxtIWuCUYPLiXkN4inTJriJpoGLak4SStNMplh+hydFbEIkeD2fYh83WgQkjtPi+CSA0pIrUjhdbz4A35SqRSyWZKuSRMsCiLXSmpfqKXb+G5ISyJ8gmwmiyY0iEPtM7UErgyg+9zfHtqeveF3k7tG2QwsEEK81nr7CODjbTx9NdB7o9u9+HaCjQC7AW+1DrMrgeeEECcUyiTPBrvssgtPP/00s2bNYvfdd2fXXTv1qql2mxdPU1qUm6mc19LynccfXNtIXPPgDxlMXd/EmGiQaGeqbtuqvjlDKiuJRiKk0hlW1SToWRFk9pcN6IYH2zLpVR5g2do4uuHBQmPmonoO2b0bCIHeSbeK6kEdT7mHTGMGM2tiWRaBaAArbeH1ebEdm3QsjR7S8VZ6ia3JbZ0NhUJoukZLcwt20t45kiWwIWl9Akzf6P632vHcWcAgIUR/cknyDOCsDQ9KKZuBto5WQoi3gKsLLVFu0L9//y5Zim1rBgW9rEgmARgc+O7aSovcGkNNCCTgFMb64u3Sq1cv0mI1Nx3RsMVjPl/t8OsnLXyahaNZHDtMEvRm+HKlQTTspykmGdsnxbJ1YNs2tm2BI1m4bD3NKRi3q8ZvjjO2OVP++9dK8ffcuVoEZ1Zn8Aa9mFkTx3ZIZVJ4KjzEYrnEWHJICQDdT+lO3Yw6Ustyi9Y1TUPza3iihXEJpz1tJR7a8L0QwgsMbr35pZRyqy3ppJSWEOIycqXcdOBBKeUCIcTvgdlSyue+f+hKIfi/3hW81RgH4OCS725L+3llCX9ZWUdTKsWPK6IUe9wfIeTDbj01frafxsufJRk9SHDKaIMVdbm2Ek0xgXRM9hmo899ZDj5/AE3TiMdjpB0fFaU+PloWZ8FqyYhenW+EqQd00nXp3ML8IoPup3XHU+bBbrKx4hZmrUl6VRp/bz/df9ydpo+aaHyrEWwI7Rba+RalCyEOBh4CVpAr19ZbCHHOtgppSClfAl7a5L6btnDswe2NRykMAV3jmPItLxgeEPBxz+AeWFLSYNkkbYeg3jlngU8bY3DamG9uD6kS3HqywZwVFiN7G+zZV6N/uU1tSmLoDlkjtw7Rsh2klPg64VZ6aUnsuE04GsaxHUyfia8iVx3d1m1qn63Fo3lospso/1E5/t5+Gt5qIOALYBgG8c/iWIdaGEH3fzjbE8FfgSOllF8CCCEGA49Bl1g+p/wADjBpVR1fprJowLV9KhgU9LkdVt5YtqQhAaUhGNlLY2Svbz4cfnucwZ9eTJM24fJjDV7+3OLrepPTxmgMrux8HyJS5q67aD4NrNy22A0yazMYukEgFEAkBMmlSRpeb0AXOplMBtu2kUicjAMFsJ9he5KlZ0OiBJBSLhZCFMbFBKWgLU9lWZI2KYpESGSzPFvXwtUbzZp3Js1JyZWPmdTGoTwMfzvTQ1HwmwSxa5XGw+d/c233yN3ciLLjaB6NkkNKaHyzEWEIuh37TUcBX6UPy7ZIxVKYjkmgLEBiXoJQKIRt2ySTSdDAU1wYaWZ7kuUnQogH+KZS+tl8M/mjKFsUMTQcKclYFo5tU+rrvEU2Xv/Cpj5pUFIUpCGW5PUvbH68l/unkG6K7h4luEuQ+II48cVxHNMh0D9Ay/wWnJRDWqQpObAEf28/juWQzWZzo0opEYYoiAXpsH3J8mLgl8AVrbffBe7d4REpnU53r4fzKot5sSFOD7/B6d2L3Q4pb6IBgZQOGdNGylyr267OyTqs+886ZFximRax2TGCQ4MkFyYJBoJkzSzNHzaT/CrZVsZtw+m7ESmcD5p2RdK6x3uelHIIuUXkirJdKn0eTiyPMiLkJ9BJJ3gADhmisXidxUfLEowbLjhkSOec/d8eZoOJzEg8hgfHcvB6vSQXJtE0DcNjIKUklU6RXZvFMAx0XQcJUpN0O6FwGgG2K1lKKW0hxJdCiD5SypX5DkrpXN5tijNlXRO6rlMsmvnjgO54tc6ZMHVNcOmhHi5V/QPaeIo9oEMmkcHj8eD1erEsC0taxGIxpCPxh3NbGlOJFDY23nIvvU7pVVAjy+35H1tCbgfP60KI5zZ85SswZecnpcSRkjebEvj8ASKhEE2OQ3Vmq8tzO7WMJYmld8KV+T+A5teoPKsS/xA/mUyGVCqF4zggoPzUcoRf4A/78fg96H6dwIAAZUeVFVSihO27Znlj3qJQOp2FiTR3raojKyWDA16y2QyWbSMcSUUX7c0zb5XDDdNNTBuO313jl4cWxixvR/CUeOh+QnfWNK/BrrMxvAZauUZ4QJjsqCyxeTEc00EzNESNoOapGnr+oid6sHAuY7Rnb7if3OTOLsBnwL+klFa+A1N2DktTGdZlLHYL+ynaaM/3A2sa0AMBoprGl7EYP66I0mA5HFpSTKQT7g1vj/vesjC8QSJegxfnxzh1tKRbtGtNAFWeWknLp7lZcF9fH47pUHpIKdExUWqm12DVWCSbkyBh/TPrqTy1Es1TGJds2vMR/xBgkpv9PgYYRq5Qr9IJrbbh3mT7jq2NJ/iyvhHDMJDrmhjdsxKPrlPnQK0UeByJiSSDYGWwCE0IXnCAdrz+ahvcbySwY0V8gtUtNllLIJB0gap1AGRqMjS924Tm1ygZV4K/l5+a6TUkFyZpCjdRdXYVekjHillYGQuPx0MgECC1JkXz7GZK9i1x+y0A7UuWw6SUIwCEEP9i25WGlJ3UoEGDtuv4xbNn4w+F8Pv9xONx7J59KOvWjfVLllDVqxc1NTWYlsWovfaiuGfPbb/gRqLfI55CN+Eog4kvZmlIZLnsaIOiLrCsSNqSmidq8GpeLMeiLlGH5tfweXz4gj7isTiZNRm8PbxYsdwJ64ZlQ0homdVC8dhiRAFUZWpPsmy7Gt9aGCOP4ewcbNvmkUceYf78+fTu3XvbT9hJTJgwYbuOnzJlCrfeeivNzc34fD7+9re/0aNHDy699FIA7r1XLcPdWFWR4G9ndd4F+ZvjmA5O1sFb4sW2bNJNaULDQyS/TiJSAsdxyNZlqZleg5ACrXVZWSwWQ9M1pCWRZq7OpdvaczFgdyFES+tXDBi54XshxHcLGHYB999/P5MmTaKmpoaZM2fy0ksvsffeezNq1Cief/55t8PrMP369UMIQSCQq6KzdOlSt0Ny1cp6hzcX2dTFutZs99bofp3QkBDxljiJeILALgF83X14BngwvSZFBxTR8HoDAT1AKBTK9RIP+hGaQHgEgX4BhNf9RAntK9HWNa/Gb8Wnn36KrusEg0Hi8Tg333wzAIFAgOuvv56jjz4aj6fzX5BaunQpPp+PkpISmpqaWLp0KQceeKDbYbliwWqH6560MAwdTZrc9zNPl5u82ZLQyBBaUCNbnyX5eZLkZ0msjIUv5KPhjQawyS1Cbz39TsQSaFGNsqPKCA4I7pTbHZVWJ598MjNnziSZTKLrOn6/n3Q6/c21li7i0EMP5d577yWRSODxeDjkkEPcDsk17yy2EbqPcMhHLJHk3SU2s5ZLamOS8w7Q2X9Q5xtzVFdXQxM4/3O2eEw6lqZuaR0CgWVahMPhXAX0ZAtWwsolSiCRSAC5hBkKhcimspgzTeQKiaQdv1eNUJ3ndhuFMSe/kznqqKOYNm0au+22GwceeCB/+ctf0DSNdDrNxIkTu8SoEnKV419++WXuuOMOXnrpJfr27et2SK7ZtVLDsbO0JDLYlsU7XzosWGfQlA1y64sWzcmu9UG6QboljWEYWJaFrutks9m2gYVlWUQiEXw+H1JKpJQYhtH2ZWUKa4WiGll+T0OHDqWqqgqAsWPHMnNmQbU87zDdunWjW7fC2b/rlkOGaNgOLFiT5aDBOv98x8ZjGPi8OumUIJmV3yrV1hn06tWLWlGLdviWx1yBFQFiz+Za2nq9XrJmFsu08If8ZJIZLOubhKgFNRzpEE/HkY4kMDyANrZ94znnfw698txuQ40sFWUHEEJwxHCdq47wsGdfnfMP1MlmkjQ1xxi3q6CyqHMlyvYK9AvQ7aRuaAGNVDqFbeXOuzPJTO7PTIZ0Otcw1iM8CASO7eDxemj+qJn0qvQWX7ujqWSpKHmQyMCACsEhQ+DKw/WCmaRwQ6BPgO6ndM99HwgQjoSRUuL1eQkXhfH6vHj9XkLFITRbQ5MadtYGK1exqFCo03BF2cFW1jvcPsPG4wuwrD5Ledjh3AO69rjE38uPt9JLZn0mV0QDsEwLK2vlTsWN3GSQZVkEAoG2sm3+/n6XI/9G1/4XVJQ8qI1JNE0j6DPQdQ+rGr6Z3FnbLFlR53S5lRMA3U7ohu3YRCIRIpEItm1j2iaaVyM6Jop3hBc9opNOp8mkM2iaRuzTmNtht1EjS+V7k1Iyb948HMdhjz326NKnmhsb3lOjqshkbXMcKR10TeN3z5lURuC5eRIEHDFMcNURXWPVxAZGiYFAYJrfnFoLr0DzaBTvXYzZaBL7JFffMhwOg4CW2S2Ujit1MepvqGSpfG8TJ05k6tSpWJbFIYccwn333ed2SAXB7xH8/WwPy2okT8+RvLdUQ9MNGlvSVJaF8Bo6L3/WwoXjJMEC2Z2Sb1aLRf3/6pFCkjWzSCnxlHooOaIEf08/ml8jviCO1/BiWmZbQtUDhbM+VZ2GK9/bI488gm3baJrG888/z5w5c9wOqSCsqHNYuEYysLtg0VrIOl4s6UECqYxJIm0S8oK3Cw1V1j+1nvTSNAJBKBQiGA3iKfYQHBhE8+fSkF6kY0kLwzDIZDJk7AwV4wunC2gX+ufKr9raWj766CMGDRrEkCFD3A6nQxQVFbF+/Xo0TUPXdWbPns2ee+7pdlh58XWjwe9f2/bp4KraBF+tTiCEIBrUiCUFaTOFpmk4jsTQBAKHAb3LufX17T8N/7rRYNftK+BUEDLrM+iajkAQa4nlhmlxWPGXFRTtWwQ2NM9uxsk6mE5uVKlpGnbadjfwjeQ9WQohjgbuAnTgASnlbZs8vqFrpA3EgQullAvzHdeOVFdXx/HHH49pmliWxb333sv+++/vdlh5d/vtt/Pzn/8cKSXRaJS9997b7ZDyYntKxVUvfpNgOIphGDQ1N1Na2g2am9smdHr2H8qSJUv4Yo3NnnvuTiQS2a5Ydu2585WuszM2SNCEhk2uxa0hDDyGh0wmQ+M7jWg+jWhRlGwsSyqVyk0AOTaN/2skNDDk9lsA8pwsW7tC3gMcAVQDs4QQz22SDB+VUt7XevwJ5LpHHp3PuNpj0qRJLFmyZKvHbHj8ggsuoL6+nlAoRDqd5tprr2X33XdvO27QoEHbXf5sZ3DQQQfx7LPPto0oN37PUkr+/ve/M2PGDA444ACuueaaXNe+ndD2/NtddtllvPPOOySTSYQQnHHGGSxfvpz33nuPgQMHsnTpUkpLS3OnmZkMjzzySB4jLwzZ9VkMn0HQF8Q0TVKpFD6fD8MwyGazCATI1nJurcuKHMdBOhLhKZxruvm+Zrk38JWUcpmUMgtMA8ZvfICUcuMybyFoz675whAIBAgEAkQiESzLIplMYpomJSWFUdm5I4wYMYJzzz33W4kSYP369fzzn/+kpqaGRx99lOnTp7sUYce69dZb2WOPPXAch5KSEqZOncpJJ53EgQceSFlZWW5iw+PBMAySyXaWpN/JeUo8SF2SzqbJmBnwQiqTIhaL4TgOIiAoO7aMtJ7GFCYSSSKRwPSZlB9b7nb4bfJ9Gt4TWLXR7Wpg7KYHCSF+CfwK8AIF0UR0e0eCn3zyCS+88AIjR47kxBNP7PLLaDKZTFuty3Q6TU1NjdshdYhoNMpBBx3Ep59+SiQSoampibVr1wLg8/m48MILue+++/D5fNx4Y9foAWjWmSDBljaO4+DxecAAUSooGl1EcHAQTdeIDI3kOoImHYRPoBmFNf9cEBM8Usp7gHuEEGcBNwDnbHqMEOJC4EKAPn36dGyA7bDXXnux1157uR1GwaiqqiKTyVBXV0c0GuWkk05yO6QOc+yxx/Lggw8Si8WIRqMcc8wxbYVWrrjiCi688MK2yjpdQWxeDL/Pjy/go7mmGa/Pi27oJONJwkNzWx/NJhPNr6H7dfRQYV6uyfe/1mpg474LvVrv25JpwD8294CU8n7gfoDRo0fvNKfqXZXX6+Wll16iurqaqqoqAoGA2yF1mKqqKl599VW+/vpr+vXrRzAY/Nbjfn/hbOHrCN4KL/FVcUiCIx2ymSxkITg0iJSSuhfqSC1PIaWk4oQKgv2DOFkHO2ljRI2C6L8D+U+Ws4BBQoj+5JLkGcBZGx8ghBgkpdwwk3IcsPVZFWWn4fV6GTBggNthuCIUCjFs2LC2247jdNlLM0X7FGHGTBKfJRAegeVYGGEDvUjHbDBJLktiSINsKsv6x9cTGRMh+UUSbPCUe6g8rRJhuP+zy2uybG1wdhnwCrmlQw9KKRcIIX4PzJZSPgdcJoQ4nFxjtEY2cwqu7DxM02Tx4sW0tLTw0Ucfsc8++7gdkusmT57Myy+/jMfjYe7cuQC89tprjBw5kiOPPLLTJ1GzwSS5NLc6QBc6ZtpEIGj5oAUjaCBtiW3l9oxnshliH8fwB/34o34SDQlSq1IE+we3/RflWd4vmkgpXwJe2uS+mzb6XvUg70Tuvfdeli9fjmEYXHTRRbz44ov06pXfoqyFrK6ujrvvvpuioiKy2Sy//vWvWbdu3TeVdyyL4447zuUo88exHNb9d13uFNx2cEwHv9+f285ogNls4uvjI/1VmkQigaZrCC3XgsJMmNhZu22Hj9sKIwql0/jiiy/weDwEAgF0Xc/1aemipJRUV1fnZnidXKWhTCaDruuUlJQghGD27Nluh5lXTtpBZmVuzaQQ6LqO1+vF4/Hg2A6x2TEyyzL4vD58Ph+WaeE4DpZpkYwlcTIO6dWFUQBYJUtlhzrrrLPIZDLE43EqKioYOXKk2yG55ve//z0//elPyWazuT7YmsYf//hHhBDEYjGklBxxxBFuh5lXekjH18uH4zjouo7jOMTjcdLZNP4Bfjxarjq6x+PBE/CADppXIxgMEi2KIoQg9WXK7bcBFMjSIaXzOOiggzjooINIJpM89NBD35kJ7ioSiQTTpk2jvLwc0zSpr6/nkEMOYf/99+eZZ55h5syZ7Lrrruy2225uh5pXQgi6n9Kddf9dh1WdK+ybTCXRvTqZr3OFgA3dIJ6II9ICgUBYgmQmd43TwcHX3+f22wBUslTyIBQK5SrLdNFECbkF6OFwmHg8juM4eL1eWlpacByHXr16danruHbcpmRcCU0fNJGqTiGEIOgNYts2yUwSvOQWoXs0fHZuG2QsFkPXc+04dH9hrLtUp+GKkgeGYfDggw8yfPhw+vXrRyKR4IMPPuDyyy/vUlXSYwtirPn3GmqerEEP6FSMr0A6EjNrYmZzO3sipRF8nlw73Gw2Szabq3cZCATweXzE58bdfhuASpaKkjcjRozgP//5D47jEAwGiUQivPvuu11q0qtlZkvuvUcjJJckcVIOmq5h23bbpFc6lsY0TbzdvViORSqVapsMy6Qzbr+FNipZKkqe9e7dG9M0yWRyfWWKi4vdDqnDGFGDbDpLpjmDk3HQgzpakYZpmth2rlZlKpHCTtuY1SbCI3ITPeSWVTnSIbLn9pWxyxeVLBUlz/74xz9SXl6O3+9n8uTJ213DcmdWdnRZ7tTazOIP+al/qZ5uJ3cDD0hy/Yh8Xh/hSBgn6+BYDmYqV/xXiFzpNjtZGAWA1QSPouxg6XSauXPnUlVVRd++fSktLWWPPfYAYOzY7xTd6tSMsIHm0QiFcgV8M7EM6/+7Hl3q2OSSoKZpCERbUWBLWHgMT1t9WLO+MHqHq2SpKDtQJpPhtNNOo7q6Gtu2ufPOOznkkEPcDstVJYeUUDejDmlLjCIDYrkVE9lslnQ6navrKXIrCAJFAZprmzGtXJFg0zIpHlns9lsA1Gm4sgN9/PHHPPXUU2QyhXNRvqMtXLiQVatWEQ6HMQyDhx56yO2QXKf5NbBBFzpWo4Vt22QyGdLpdG5UKQRouXqXqeYUCECDTDaDt5eXQK/CqFilRpbKDvH0009zyy23oOs6iUSCcePGuR2SK6qqqpBStlUB7/TN6xrB+Z+z1UNSq1IgwR/wY9s26XSaTDaDYRiEQiEymQzZbBbHdNAMDWnntkb6/X7s9TYt/20h0m0b13kbyZUazyOVLJUd4rnnnsPj8RAOh4nFYrS0tGz7SZ1QZWUlkydP5qGHHmLAgAFcfvnlboeUN+1tnNYQaOCdde+09WDaMJq0bfs76yo1LTdT7vP5yGRyCbUyVMngnoO3/pd0QCM3lSyVHWK//fZjzpw5NDY24jgO4XDY7ZBc8e677/LYY48xbNgwLrroIjye7W93u7PYntYrV155JS+++CKWZRGJRIhEIqxZs4ZsNoumaYwdO5YlS5bQ0NCAYRj4fLktjo7jMHXqVLp3756vt9FuKllug2mazJkzh5KSEgYP3sanWxd2/vnnU1ZWxvLly5k3b17bf/auZMWKFVx22WXous7777+PrutccsklbodVEO68805OP/10pkyZwptvvkl9fT1SSmzbxuPxMGTIED777DMgt74ylUphWRYlJSUFkShBJcutchyHc889lwULFmDbNjfeeCOnnnqq22EVJE3TOPnkkwG49NJLXY7GHStXrkTXdSKRCC0tLSxatMjtkArGe++9x2WXXUY6natbKaUkEonkqgqlUnz66aeYpkkgEKClpQXbthFCFNRSKzUbvhXV1dXMnz+fSCSC3+9nypQpboekFLA999yT0tLStsmdM8880+2QCsbDDz+MpmlkMhmkzE3gOE6uT3ggEKC5uflbu3qEEPTt25e//vWvLkf+DTWy3IqysrJvVYvZdddd3Q5pp/Tpp5/y97//nR49enDttdd22h0s4XCYZ599lnnz5tG7d2969+697Sd1EYMHD+bdd9/FcRyi0WjbaXYkEmH33XenZ8+eLF26tK2CvMfj4Y033iioyzkqWW5FKBTioYceYvLkyXTv3p0rr1QdMLZXLBbjvPPOA2D27NnEYjHuvPNOd4PKo1AoxH777ed2GAXniiuuYOXKlbz44otEo1G8Xi/nn38+X375JVJKzjvvPP7zn/+0zZRrmoamFdaJr0qW2zB8+HD+9re/uR3GTqu+vh7btikuLiaVSrFs2TK3Q1Jc4PV6GT9+PPX19SxatIgxY8Zw5JFH8o9//INEIoFhGFxxxRVMnjwZTdO4+uqrC24lgUqWSl716dOHvfbai08//RTHcbjwwgvdDklxwX333cd9992HEIKSkhJuv/12jjzySJqbmxFCMH36dIYMGcIjjzzCsGHDKCkpcTvk71DJUskrTdP45z//yeeff05ZWZm6jtdFzZgxI7f3OxCgqamJe+65h5aWllzvHY8HwzBYtGgRF1xwATfccANnnXWW2yF/R2FdFFA6JcMwGDVqlEqU5Jaj3XbbbRxwwAFceeWVpFKF0Ywr3w466CASiQQ1NTX4/X6Ki4vx+/0IIbAsC8uyEEIQCASYNm2a2+FulkqWyg41b948Xn/9dV599VVmzJjhdjgF5+2332batGnYts2bb77J1KlT3Q6pQ2wogGxZFsFgkMrKSiKRCI7j5Nritu76Mk2zYDuCqtNwZYe65pprEELg8/m45pprOPTQQ/F6vW6HVTASiQRA2+RFLBZzM5wO8+STT1JUVEQgEKC6uprf//73AG1rLW+44QaWLl1KVVUVF1xwgcvRbp4aWSo71Ia9vpqmtf0idDWxWIxnn32WDz744DuPHXbYYQwePJj6+noqKio4++yzXYiw440aNYpsNktzczOWZbV9WGworvHHP/6RV199lQceeIAnnngC0zT56quviMcLo1kZdMDIUghxNHAXoAMPSClv2+TxXwHnAxZQC5wnpfw633Ep+XHrrbfyk5/8BNu2mThxIn6/3+2QOlQ2m+WUU06hpqYGx3G48sor29aZAgQCAf773//S1NRENBptSxad3TXXXENZWRmrVq2iV69eTJw4EaDteqXP52PdunV0796diRMncu+991JfX09RURHTpk1j4MCBLr+DPI8shRA6cA9wDDAMOFMIMWyTwz4FRkspRwJPArfnMyYlv/bbbz+OOuoojj322IKc0cy3FStWsH79eqLRKD6fj2effRbIJYXPPvuMs88+m3feeYeSkpIukyghd9nhoosu4o9//CPjxo3D5/Ph9/vRdR2fz0cwGMTj8RCPx4nFYqxevRrTNFm/fn3BFFDO92n43sBXUsplUsosMA0Yv/EBUso3pZTJ1psfAV2n+3wnJYTIVb/ugnr27Inf76exsZF0Ot1WCOKLL75g7dq1LFq0iCuuuII1a9a4HKl7li1bRjKZxLIspJRYloWu62SzWRKJBI7jtC0z2rA9shDk+zS8J7Bqo9vVwNbKiPwCeHlzDwghLgQuhNxCZ0UpRKFQiMcff5zHH3+cyspKTj/9dIC2XSqhUIhYLEZNTQ09evRwOVp3zJ07l6KiIhzHwbIsBg4cyMUXX8wtt9yCpmnE4/FcozLTpKioqGDK3BXMBI8Q4ifAaOCOzT0upbxfSjlaSjm6oqKiY4NTlO3Qp08fxo4dy//+9z9uu+02kskkAwcOJJPJ0NLSwuDBgxk+fLjbYXaYL7/8krvvvptXX30VKSUHHngguq7jOA62bWOaJj/+8Y/ZbbfdiMViSCnbJgePO+64gtkjnu+R5Wpg45XIvVrv+xYhxOHAb4FxUsqu2+1K6RTWrFnDZZddhmEYfPrppwBUVFRwyCGHMGHCBIYMGVJw+57zpbq6mjPOOAPbtrEsi0AggMfj4YQTTuDxxx8nHA6zZs0aHn74Yc4880zee++9tueGQiFmzJhBZWUlv/rVr1x8Fzn5TpazgEFCiP7kkuQZwLeu+gsh9gAmA0dLKWvyHI+i5F1NTQ2aluuVHY/HWbZsGYFAAL/fz4gRI9wOr0N9+eWXaJpGNBplzZo1ZDIZysvLefLJJwmFQm2jyGXLlvHMM8/g8/nw+XwkEom28mzV1dUuv4ucvI5vpZQWcBnwCvAF8LiUcoEQ4vdCiBNaD7sDCANPCCHmCiGey2dMipJvw4cPZ+DAgcRiMWzb5he/+MV3jpk1axYXXnghf/jDH3J9szupkSNHomkazc3NZDKZthlwgKKiIuLxOJZlceyxx5JKpdpOvx3Hobm5GU3T+PnPf+7um2iV93WWUsqXgJc2ue+mjb4/PN8xKEpH8ng8PPbYYyxYsIDu3btTVVXFo48+2vZ4fX09F1xwAUIIZs6cSTqd5k9/+pOLEedPRUUFTz/9NO+99x7JZJK7776b6upqvF4v6XSa4cOHU1JSwu9+9zs0TSObzWKaJh6PB7/fzy677FIwBYAL48qponQyHo+HUaNGUVVV9Z3H6urq2nrQeDwelixZ4kKEHWfDz2DJkiWcf/75lJaW0qNHD1KpVFvjsnXr1lFVVdW2TGjDPvLFixdz/vnnuxl+G7U3XFE62MCBAxkyZAiLFy/e4ml6Z+E4DmeddVZbt0spJcFgEL/fj5QSr9eL3+8nGo3S1NQEgM/nwzRNdF3HMIy2hOr22l2VLJW8sG2b3/72t8ydO5fTTjuNc845x+2QCoZhGPznP/9h3rx5dOvWrVOvG548eTIffvghQgiCwSC2bVNeXo7X62Xs2LGkUil0XeeJJ57gqaeeYsmSJbz++usAbT3oJ0yY4HqiBHUaruTJsmXLeP7551m9ejW33nrrZotKdGUej4fRo0d36kQJMHPmzLZZ70wmQzabpbS0lGOOOYbf/e53GEZuvFZWVsZBBx3EhAkT2GOPPbAsi4MOOohXXnmlYBalq5GlkhfpdJp0Oo2u66TTaW655RZeffVVt8NSOtiPfvQj5syZ01arsri4mBUrVvDVV1/xv//9jwEDBgBw1llntV27PeOMMwAYO3Ysffv2dS32TalkuR0cx+Hll1+msbGRY489ltLSUrdD6nCTJk3a5oTEkiVLEEKQSCQQQqDrOl988QUXX3xx226MQYMGMWHChI4IWXHRKaecQktLC4sWLeLnP/85J510UtsC9QULFhCPx+nTpw9fffUV0WiUhoYGJk+eTFlZGXPnzqVbt26ceuqpbr8NQCXL7fKXv/ylrbL1lClTePnll7vMToztEQgECAQCVFVVUV9fj6ZpBIPBgtm2pnScxx57jDvvvBNd1/noo48oLy9n5cqVbaff1dXV7LLLLti2TSKRwDRNvF4voVCIbDbLihUr3H0DG1HJcju88cYb+P1+/H4/tbW1rFu3rsv1ldme0WA6nebJJ59sq/FYKNVjlI7z4osvtn3f0NBARUUFwWAQyNX+lFIyf/58Jk2axIMPPkjv3r15//33icfjeDweTjzxRJci/y71Ub8dxo0bRyqVoqmpidLSUrp37+52SAXN7/fzk5/8hPPOO08lyi6qoqKCxsZGGhsbaWhoYPjw4di2TTKZRAhBOBymubmZwYMHM3XqVC688EIuu+wyBg0ahGEYPPzww9i27fbbANTIcrtce+21DBs2jPr6ek444QTVW0ZRtqFfv35t+799Ph/vvfceXq8X27aRUpJOp9E0jbKyMubNm8dPfvITYrEYpmlSWVnJc889x9ixY/nRj37k9ltRI8vtoes648eP57zzzqO8vNztcJSdTHV1NRdccAEPPPBAl+lNdNRRRyGlbFuQHovF2hqXGYaB4zjsu+++BINBXnvtNVpaWhBC4PF4qKurQwhRMHvn1chSUXaAba0SmDdvHqtWrSIYDPL666/zzDPPbHaNZWdbJTBkyBD23ntvPvnkEzweT1tNz1QqRb9+/ejTpw+hUAiAESNGYNs2gUCgLbH6/X4OO+wwl99FjhpZKkoHMQyjrepOIXUtzLeioiLKysro3r07QghCoRCVlZWk02mWLVvGF198QSKR4Mgjj+Swww7DNE3S6TQ+n49kMslNN9207b+kA6iRpaLsANsaDdbV1XHSSSeRTCaJRqNMnjyZXXfdtYOic9fpp5/OnDlzSKVSGIbR1js9lUqRyeRqfe+9995MnjyZzz//HMMwyGQy9OnTB9u2+fjjj90Mv41KlorSAcrLy3nppZdYsGABAwcOpCu1RjnmmGPo168fc+fOZdKkSdTW1mKaZtvjkUiEVCrFzTffjG3bdOvWjVWrVtHY2IhhGBxzzDEuRv8NlSwVpYNEIhH22Wcft8NwxdChQ3nhhRfaTq81TcPn8xGLxchmsxiGQTabpaWlpe32KaecwtixYznyyCPdDh9Q1ywVRekg4XCYdDrdVlDDNE0cx2k7HV+1ahWO49DU1IRt2zz99NOUlpYWTH91lSwVRck7y7J47rnn2qoPaZqGlLJtK2xlZSWmaeLz+TAMg6KiIgDefvttlyP/hkqWiqLkTWNjI2eccQajRo1i8eLFVFVVUVxc3DYrLqXEtm0aGxuRUpJMJrFtm5qaGhKJBHvttZfbb6GNSpaKouTNP//5TxYuXEg0GiWbzVJXV4eu6+y999786Ec/IhQKYds2qVQKIQQlJSWEw2F0XUfTtLYRZiFQEzyKouSNZVlAbvdbcXExRx11FKNHj+bkk09GCMGMGTNwHIfi4mLWrl1LOp0mm81i2zbpdJrrrruOF154gUAg4PI7USNLRVHy6IILLqBXr16sWrWKRCLBsmXLOOyww5g/fz4jR45k3bp1bcnyD3/4A0cddRRCCPx+P+Xl5TQ0NDBnzhy33wagRpaKouRRRUUFEydO5Gc/+xnhcJilS5dy55138uKLL5JIJDAMg3Q6zeTJkxkwYADnnnsuAwYMYMqUKWia1lZQoxCoZKkoSl5tOBXfUPw5m83S3NxMIBBACEFzc3NbMWCASy+9lGQyycKFC/npT3/KwIEDXYl7UypZKoqSV3vssQfHHnss06dPp1evXlxxxRXU19fz5ptvYts2kUjkW0VFfD4fv/3tb12MePOElDK/f4EQRwN3ATrwgJTytk0ePwi4ExgJnCGlfHJbrzl69Gg5e/bsPESrKEq+2LbdtsA8m83y/PPP8+CDD9KzZ0/uv/9+l6PLEUJ8IqUcvbnH8jrBI4TQgXuAY4BhwJlCiGGbHLYS+DnwaD5jURTFXRvvxPF6vZx88sn07dv3W6fghSzfUe4NfCWlXAYghJgGjAcWbjhASrmi9bGuUQ1VUZSdUr6XDvUEVm10u7r1PkVRlJ3KzjH+BYQQFwIXAputMK0oSuFLpVI89thjZDIZzjjjDLfD2S75TpargY17xfZqvW+7SSnvB+6H3ATPDw9NUZR82lyrjVmzZtHQ0IAQgr///e9UVVUhhODSSy/d6msVQruNfCfLWcAgIUR/cknyDOCsPP+diqIUqIaGBoLBIJqm0dTUhN/vb1t/Weg6YunQseSWBunAg1LKPwkhfg/MllI+J4QYA0wHSoA0sE5KOXxrr6mWDinKzuk3v/kNL7/8MgDDhw9n6tSpLkf0bVtbOpT3ZJkPKlkqys7Jtm1effVVMpkMRx99NH6/3+2QvmVryXKnmeBRFGXnp+t6wfTU2V47x8UCRVEUl6lkqSiK0g4qWSqKorSDSpaKoijtoJKloihKO6hkqSiK0g4qWSqKorSDSpaKoijtoJKloihKO+yU2x2FELXA127HoShKp9NXSlmxuQd2ymSpKIrS0dRpuKIoSjuoZKkoitIOKlkqBUkI8VshxAIhxHwhxFwhxNitHHuLEOLqzdzfTwihik0rO4Qq0aYUHCHEvsCPgD2llBkhRDng/R4v1Y9cZX7VZln5wdTIUilEVUCdlDIDIKWsk1KuEUKsaE2cCCFGCyHe2ug5uwshPhRCLBFCXNB6323Aga0j0wlCiHeEEKM2PEEI8Z4QYvfWkekjm3k+QohrhBCzWke4v8v3G1cKl0qWSiF6FegthFgshLhXCDGuHc8ZCRwK7AvcJIToAfwaeFdKOUpKOQn4F/BzACHEYMAvpZy3pecLIY4EBgF7A6OAvYQQB+2oN6nsXFSyVAqOlDIO7EWu9XEt8F8hxM+38bRnpZQpKWUd8Ca5BLepJ4AfCSE8wHnAlG08/8jWr0+BOcAQcslT6YLUNUulIEkpbeAt4C0hxGfAOYDFNx/wmzZv2XTB8HcWEEspk0KI14DxwGnkEvLWni+AiVLKyd/nPSidixpZKgVHCLGrEGLjEdwocju2VvBNgjt5k6eNF0L4hRBlwMHk2jDHgMgmxz0A/A2YJaVs3MbzXwHOE0KEW+PqKYTo9sPenbKzUiNLpRCFgbuFEMXkRpNfkTslHwr8SwjxB3Kjzo3NJ3f6XA78oXVCqBawhRDzgClSyklSyk+EEC3Av7f1fGCNEGIo8KEQAiAO/ASo2dFvWCl8aruj0qW0Tvy8BQyRUjqt990CxKWUf3ExNKXAqdNwpcsQQvwMmAn8dkOiVJT2UiNLRVGUdlAjS0VRlHZQyVJRFKUdVLJUFEVpB5UsFUVR2kElS0VRlHZQyVJRFKUd/j+pTSEiZOEMowAAAABJRU5ErkJggg==\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 360x360 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
@@ -812,58 +848,55 @@
      "output_type": "stream",
      "text": [
       "Num of feats = 3 ['NIPS_sbp', 'NIPS_dbp', 'NIPS_Maternal_bmi']\n",
-      "NP    316\n",
-      "PE    138\n",
-      "Name: Outcome, dtype: int64\n",
+      "Outcome\n",
+      "NP    315\n",
+      "PE    135\n",
+      "Name: count, dtype: int64\n",
       "#Performance metrics\n",
       "\n",
       "specificity 0.7\n",
-      "AUC 0.77 CI95 (0.71, 0.87)\n",
-      "Specificity 0.7 Sensitivity 0.73 CI95 (0.61, 0.89)\n",
-      "AUC 0.65 CI95 (0.57, 0.72)\n",
-      "Specificity 0.7 Sensitivity 0.48 CI95 (0.35, 0.63)\n",
-      "AUC 0.62 CI95 (0.57, 0.69)\n",
-      "Specificity 0.7 Sensitivity 0.39 CI95 (0.29, 0.48)\n",
+      "AUC 0.76 CI95 (0.68, 0.84)\n",
+      "Specificity 0.7 Sensitivity 0.7 CI95 (0.52, 0.86)\n",
+      "AUC 0.63 CI95 (0.55, 0.7)\n",
+      "Specificity 0.7 Sensitivity 0.44 CI95 (0.3, 0.6)\n",
+      "AUC 0.65 CI95 (0.59, 0.71)\n",
+      "Specificity 0.7 Sensitivity 0.44 CI95 (0.31, 0.6)\n",
       "\n",
       "specificity 0.8\n",
-      "AUC 0.77 CI95 (0.71, 0.87)\n",
-      "Specificity 0.8 Sensitivity 0.68 CI95 (0.48, 0.67)\n",
-      "AUC 0.65 CI95 (0.57, 0.72)\n",
-      "Specificity 0.8 Sensitivity 0.42 CI95 (0.27, 0.42)\n",
-      "AUC 0.62 CI95 (0.57, 0.69)\n",
-      "Specificity 0.8 Sensitivity 0.32 CI95 (0.16, 0.32)\n",
+      "AUC 0.76 CI95 (0.68, 0.84)\n",
+      "Specificity 0.8 Sensitivity 0.65 CI95 (0.41, 0.65)\n",
+      "AUC 0.63 CI95 (0.55, 0.7)\n",
+      "Specificity 0.8 Sensitivity 0.39 CI95 (0.21, 0.38)\n",
+      "AUC 0.65 CI95 (0.59, 0.71)\n",
+      "Specificity 0.8 Sensitivity 0.36 CI95 (0.17, 0.34)\n",
       "\n",
       "specificity 0.9\n",
-      "AUC 0.77 CI95 (0.71, 0.87)\n",
-      "Specificity 0.9 Sensitivity 0.6 CI95 (0.29, 0.54)\n",
-      "AUC 0.65 CI95 (0.57, 0.72)\n",
-      "Specificity 0.9 Sensitivity 0.36 CI95 (0.12, 0.29)\n",
-      "AUC 0.62 CI95 (0.57, 0.69)\n",
-      "Specificity 0.9 Sensitivity 0.26 CI95 (0.05, 0.17)\n"
+      "AUC 0.76 CI95 (0.68, 0.84)\n",
+      "Specificity 0.9 Sensitivity 0.59 CI95 (0.29, 0.52)\n",
+      "AUC 0.63 CI95 (0.55, 0.7)\n",
+      "Specificity 0.9 Sensitivity 0.34 CI95 (0.14, 0.28)\n",
+      "AUC 0.65 CI95 (0.59, 0.71)\n",
+      "Specificity 0.9 Sensitivity 0.29 CI95 (0.06, 0.2)\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 360x360 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 360x360 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
@@ -871,58 +904,55 @@
      "output_type": "stream",
      "text": [
       "Num of feats = 20 ['Griffin_FF', 'NIPS_sbp', 'NIPS_dbp', 'NIPS_Maternal_bmi', 'Placental_120_180_MCV', 'Placental_trophoblast_120_180_MCV', 'Placental_120_180_NDR-30', 'Placental_120_180_NDR-75', 'Placental_trophoblast_120_180_NDR-30', 'Placental_trophoblast_120_180_NDR-75', 'Placental_35_80_NDR-30', 'Placental_trophoblast_35_80_NDR-30', 'Endothelial_120_180_MCV', 'Vascular_endothelial_120_180_MCV', 'Endothelial_120_180_NDR-30', 'Endothelial_120_180_NDR-75', 'Vascular_endothelial_120_180_NDR-30', 'Vascular_endothelial_120_180_NDR-75', 'Endothelial_35_80_NDR-30', 'Vascular_endothelial_35_80_NDR-30']\n",
-      "NP    316\n",
-      "PE    138\n",
-      "Name: Outcome, dtype: int64\n",
+      "Outcome\n",
+      "NP    315\n",
+      "PE    135\n",
+      "Name: count, dtype: int64\n",
       "#Performance metrics\n",
       "\n",
       "specificity 0.7\n",
-      "AUC 0.81 CI95 (0.76, 0.87)\n",
-      "Specificity 0.7 Sensitivity 0.78 CI95 (0.68, 0.91)\n",
-      "AUC 0.72 CI95 (0.68, 0.78)\n",
-      "Specificity 0.7 Sensitivity 0.6 CI95 (0.46, 0.72)\n",
-      "AUC 0.6 CI95 (0.55, 0.66)\n",
-      "Specificity 0.7 Sensitivity 0.4 CI95 (0.31, 0.52)\n",
+      "AUC 0.79 CI95 (0.72, 0.87)\n",
+      "Specificity 0.7 Sensitivity 0.75 CI95 (0.57, 0.91)\n",
+      "AUC 0.67 CI95 (0.6, 0.74)\n",
+      "Specificity 0.7 Sensitivity 0.52 CI95 (0.36, 0.68)\n",
+      "AUC 0.64 CI95 (0.58, 0.7)\n",
+      "Specificity 0.7 Sensitivity 0.46 CI95 (0.32, 0.61)\n",
       "\n",
       "specificity 0.8\n",
-      "AUC 0.81 CI95 (0.76, 0.87)\n",
-      "Specificity 0.8 Sensitivity 0.73 CI95 (0.57, 0.74)\n",
-      "AUC 0.72 CI95 (0.68, 0.78)\n",
-      "Specificity 0.8 Sensitivity 0.54 CI95 (0.38, 0.56)\n",
-      "AUC 0.6 CI95 (0.55, 0.66)\n",
-      "Specificity 0.8 Sensitivity 0.32 CI95 (0.15, 0.31)\n",
+      "AUC 0.79 CI95 (0.72, 0.87)\n",
+      "Specificity 0.8 Sensitivity 0.69 CI95 (0.45, 0.69)\n",
+      "AUC 0.67 CI95 (0.6, 0.74)\n",
+      "Specificity 0.8 Sensitivity 0.47 CI95 (0.26, 0.46)\n",
+      "AUC 0.64 CI95 (0.58, 0.7)\n",
+      "Specificity 0.8 Sensitivity 0.37 CI95 (0.15, 0.36)\n",
       "\n",
       "specificity 0.9\n",
-      "AUC 0.81 CI95 (0.76, 0.87)\n",
-      "Specificity 0.9 Sensitivity 0.65 CI95 (0.38, 0.57)\n",
-      "AUC 0.72 CI95 (0.68, 0.78)\n",
-      "Specificity 0.9 Sensitivity 0.47 CI95 (0.23, 0.41)\n",
-      "AUC 0.6 CI95 (0.55, 0.66)\n",
-      "Specificity 0.9 Sensitivity 0.24 CI95 (0.02, 0.15)\n"
+      "AUC 0.79 CI95 (0.72, 0.87)\n",
+      "Specificity 0.9 Sensitivity 0.61 CI95 (0.24, 0.52)\n",
+      "AUC 0.67 CI95 (0.6, 0.74)\n",
+      "Specificity 0.9 Sensitivity 0.41 CI95 (0.13, 0.33)\n",
+      "AUC 0.64 CI95 (0.58, 0.7)\n",
+      "Specificity 0.9 Sensitivity 0.29 CI95 (0.03, 0.19)\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 360x360 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 360x360 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -1103,7 +1133,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "d662ed58-3ada-47db-a668-9dbaed6f3c07",
    "metadata": {},
    "outputs": [
@@ -1137,38 +1167,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>P1054</td>\n",
-       "      <td>0.505216</td>\n",
-       "      <td>0.417601</td>\n",
-       "      <td>0.517795</td>\n",
+       "      <td>P1091</td>\n",
+       "      <td>0.498098</td>\n",
+       "      <td>0.401851</td>\n",
+       "      <td>0.524478</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>P1055</td>\n",
-       "      <td>0.248588</td>\n",
-       "      <td>0.315882</td>\n",
-       "      <td>0.176874</td>\n",
+       "      <td>P1092</td>\n",
+       "      <td>0.257052</td>\n",
+       "      <td>0.319859</td>\n",
+       "      <td>0.171293</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>P1060</td>\n",
-       "      <td>0.548864</td>\n",
-       "      <td>0.533159</td>\n",
-       "      <td>0.526660</td>\n",
+       "      <td>P1094</td>\n",
+       "      <td>0.634391</td>\n",
+       "      <td>0.482372</td>\n",
+       "      <td>0.654590</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>P1056</td>\n",
-       "      <td>0.676439</td>\n",
-       "      <td>0.463744</td>\n",
-       "      <td>0.650713</td>\n",
+       "      <td>P1095</td>\n",
+       "      <td>0.431993</td>\n",
+       "      <td>0.515016</td>\n",
+       "      <td>0.524461</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>P1062</td>\n",
-       "      <td>0.416496</td>\n",
-       "      <td>0.574767</td>\n",
-       "      <td>0.466852</td>\n",
+       "      <td>P1096</td>\n",
+       "      <td>0.609126</td>\n",
+       "      <td>0.438160</td>\n",
+       "      <td>0.564754</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -1178,63 +1208,63 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>449</th>\n",
-       "      <td>P1816</td>\n",
-       "      <td>0.535242</td>\n",
-       "      <td>0.539264</td>\n",
-       "      <td>0.600961</td>\n",
+       "      <th>445</th>\n",
+       "      <td>P1854</td>\n",
+       "      <td>0.533092</td>\n",
+       "      <td>0.500628</td>\n",
+       "      <td>0.623743</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>450</th>\n",
-       "      <td>P1817</td>\n",
-       "      <td>0.563178</td>\n",
-       "      <td>0.648725</td>\n",
-       "      <td>0.678830</td>\n",
+       "      <th>446</th>\n",
+       "      <td>P1855</td>\n",
+       "      <td>0.537094</td>\n",
+       "      <td>0.604249</td>\n",
+       "      <td>0.639697</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>451</th>\n",
-       "      <td>P1818</td>\n",
-       "      <td>0.378351</td>\n",
-       "      <td>0.303107</td>\n",
-       "      <td>0.203791</td>\n",
+       "      <th>447</th>\n",
+       "      <td>P1856</td>\n",
+       "      <td>0.283462</td>\n",
+       "      <td>0.269728</td>\n",
+       "      <td>0.160293</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>452</th>\n",
-       "      <td>P1820</td>\n",
-       "      <td>0.519443</td>\n",
-       "      <td>0.631529</td>\n",
-       "      <td>0.685827</td>\n",
+       "      <th>448</th>\n",
+       "      <td>P1858</td>\n",
+       "      <td>0.474259</td>\n",
+       "      <td>0.586232</td>\n",
+       "      <td>0.644216</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>453</th>\n",
-       "      <td>P1821</td>\n",
-       "      <td>0.485734</td>\n",
-       "      <td>0.501334</td>\n",
-       "      <td>0.459566</td>\n",
+       "      <th>449</th>\n",
+       "      <td>P1859</td>\n",
+       "      <td>0.401826</td>\n",
+       "      <td>0.467022</td>\n",
+       "      <td>0.434234</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>454 rows × 4 columns</p>\n",
+       "<p>450 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "    sample_ID  Tissue_prob  Clinical_prob  Combined_prob\n",
-       "0       P1054     0.505216       0.417601       0.517795\n",
-       "1       P1055     0.248588       0.315882       0.176874\n",
-       "2       P1060     0.548864       0.533159       0.526660\n",
-       "3       P1056     0.676439       0.463744       0.650713\n",
-       "4       P1062     0.416496       0.574767       0.466852\n",
+       "0       P1091     0.498098       0.401851       0.524478\n",
+       "1       P1092     0.257052       0.319859       0.171293\n",
+       "2       P1094     0.634391       0.482372       0.654590\n",
+       "3       P1095     0.431993       0.515016       0.524461\n",
+       "4       P1096     0.609126       0.438160       0.564754\n",
        "..        ...          ...            ...            ...\n",
-       "449     P1816     0.535242       0.539264       0.600961\n",
-       "450     P1817     0.563178       0.648725       0.678830\n",
-       "451     P1818     0.378351       0.303107       0.203791\n",
-       "452     P1820     0.519443       0.631529       0.685827\n",
-       "453     P1821     0.485734       0.501334       0.459566\n",
+       "445     P1854     0.533092       0.500628       0.623743\n",
+       "446     P1855     0.537094       0.604249       0.639697\n",
+       "447     P1856     0.283462       0.269728       0.160293\n",
+       "448     P1858     0.474259       0.586232       0.644216\n",
+       "449     P1859     0.401826       0.467022       0.434234\n",
        "\n",
-       "[454 rows x 4 columns]"
+       "[450 rows x 4 columns]"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1249,7 +1279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "id": "84de689d-3920-42f8-bdb7-560be01405b0",
    "metadata": {},
    "outputs": [
@@ -1257,11 +1287,11 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Total samples in PE training cohort = 454\n",
-      "NP = 316\n",
-      "LOPE-TB = 58\n",
+      "Total samples in PE training cohort = 450\n",
+      "NP = 315\n",
+      "LOPE-TB = 62\n",
       "EOPE = 38\n",
-      "LOPE-PB = 42\n",
+      "LOPE-PB = 35\n",
       "Trained models saved\n"
      ]
     }
@@ -1347,7 +1377,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "id": "52bb8937-5957-4aeb-a4b5-e5c81fdcf893",
    "metadata": {},
    "outputs": [
@@ -1355,7 +1385,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Test data 789\n"
+      "Test data 831\n"
      ]
     },
     {
@@ -1419,57 +1449,19 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>P4</td>\n",
-       "      <td>0.792582</td>\n",
-       "      <td>0.808320</td>\n",
-       "      <td>0.589568</td>\n",
-       "      <td>0.477428</td>\n",
-       "      <td>0.475574</td>\n",
-       "      <td>0.350738</td>\n",
-       "      <td>0.791405</td>\n",
-       "      <td>0.810865</td>\n",
-       "      <td>0.554064</td>\n",
-       "      <td>0.730157</td>\n",
-       "      <td>0.434580</td>\n",
-       "      <td>0.718778</td>\n",
-       "      <td>Screening Cohort</td>\n",
-       "      <td>NP</td>\n",
-       "      <td>NP</td>\n",
-       "      <td>11.428571</td>\n",
-       "      <td>2017</td>\n",
-       "      <td>0.753189</td>\n",
-       "      <td>-0.008733</td>\n",
-       "      <td>0.145604</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>39</td>\n",
-       "      <td>21.963505</td>\n",
-       "      <td>116</td>\n",
-       "      <td>79</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>39.714286</td>\n",
-       "      <td>3258</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.145604</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
        "      <td>P1</td>\n",
-       "      <td>0.349699</td>\n",
-       "      <td>0.339600</td>\n",
-       "      <td>0.369541</td>\n",
-       "      <td>0.481340</td>\n",
-       "      <td>0.478554</td>\n",
-       "      <td>0.420624</td>\n",
-       "      <td>0.353238</td>\n",
-       "      <td>0.335850</td>\n",
-       "      <td>0.330056</td>\n",
-       "      <td>0.352946</td>\n",
-       "      <td>0.460173</td>\n",
-       "      <td>0.339715</td>\n",
+       "      <td>0.384317</td>\n",
+       "      <td>0.364520</td>\n",
+       "      <td>0.359189</td>\n",
+       "      <td>0.489238</td>\n",
+       "      <td>0.486340</td>\n",
+       "      <td>0.410264</td>\n",
+       "      <td>0.381879</td>\n",
+       "      <td>0.361261</td>\n",
+       "      <td>0.276223</td>\n",
+       "      <td>0.369342</td>\n",
+       "      <td>0.461947</td>\n",
+       "      <td>0.339788</td>\n",
        "      <td>Screening Cohort</td>\n",
        "      <td>PE</td>\n",
        "      <td>LOPE-TB</td>\n",
@@ -1477,135 +1469,173 @@
        "      <td>2017</td>\n",
        "      <td>0.542231</td>\n",
        "      <td>0.098206</td>\n",
-       "      <td>0.156523</td>\n",
-       "      <td>1</td>\n",
+       "      <td>0.157727</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0</td>\n",
-       "      <td>39</td>\n",
+       "      <td>39.0</td>\n",
        "      <td>35.338593</td>\n",
-       "      <td>112</td>\n",
-       "      <td>64</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>64.0</td>\n",
        "      <td>37.428571</td>\n",
        "      <td>37.428571</td>\n",
-       "      <td>3019</td>\n",
+       "      <td>3019.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.163360</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>0.547823</td>\n",
+       "      <td>0.520887</td>\n",
+       "      <td>0.290596</td>\n",
+       "      <td>0.900248</td>\n",
+       "      <td>0.902779</td>\n",
+       "      <td>0.579582</td>\n",
+       "      <td>0.894628</td>\n",
+       "      <td>0.896921</td>\n",
+       "      <td>0.434999</td>\n",
+       "      <td>0.453102</td>\n",
+       "      <td>0.794203</td>\n",
+       "      <td>0.742183</td>\n",
+       "      <td>Screening Cohort</td>\n",
+       "      <td>PE</td>\n",
+       "      <td>LOPE-PB</td>\n",
+       "      <td>12.142857</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>0.443108</td>\n",
+       "      <td>0.085220</td>\n",
+       "      <td>0.126031</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>31.954533</td>\n",
+       "      <td>153.0</td>\n",
+       "      <td>105.0</td>\n",
+       "      <td>35.000000</td>\n",
+       "      <td>35.142857</td>\n",
+       "      <td>2485.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.0</td>\n",
        "      <td>1</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.156523</td>\n",
+       "      <td>0.121944</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>P3</td>\n",
-       "      <td>0.417260</td>\n",
-       "      <td>0.420013</td>\n",
-       "      <td>0.389232</td>\n",
-       "      <td>0.353594</td>\n",
-       "      <td>0.349403</td>\n",
-       "      <td>0.305004</td>\n",
-       "      <td>0.328785</td>\n",
-       "      <td>0.326687</td>\n",
-       "      <td>0.310380</td>\n",
-       "      <td>0.408835</td>\n",
-       "      <td>0.336000</td>\n",
-       "      <td>0.321951</td>\n",
+       "      <td>P100</td>\n",
+       "      <td>0.351045</td>\n",
+       "      <td>0.363696</td>\n",
+       "      <td>0.138376</td>\n",
+       "      <td>0.351954</td>\n",
+       "      <td>0.349256</td>\n",
+       "      <td>0.174186</td>\n",
+       "      <td>0.296621</td>\n",
+       "      <td>0.303559</td>\n",
+       "      <td>0.146787</td>\n",
+       "      <td>0.284372</td>\n",
+       "      <td>0.291799</td>\n",
+       "      <td>0.248989</td>\n",
        "      <td>Screening Cohort</td>\n",
        "      <td>NP</td>\n",
        "      <td>NP</td>\n",
-       "      <td>12.000000</td>\n",
+       "      <td>13.285714</td>\n",
        "      <td>2017</td>\n",
-       "      <td>0.717252</td>\n",
-       "      <td>0.154607</td>\n",
-       "      <td>0.185625</td>\n",
-       "      <td>1</td>\n",
+       "      <td>0.975463</td>\n",
+       "      <td>0.183865</td>\n",
+       "      <td>0.189994</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0</td>\n",
-       "      <td>31</td>\n",
-       "      <td>22.075479</td>\n",
-       "      <td>108</td>\n",
-       "      <td>69</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>25.616051</td>\n",
+       "      <td>104.0</td>\n",
+       "      <td>70.0</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>39.571429</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.185625</td>\n",
+       "      <td>39.000000</td>\n",
+       "      <td>3030.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.192266</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>P2</td>\n",
-       "      <td>0.619409</td>\n",
-       "      <td>0.627307</td>\n",
-       "      <td>0.465771</td>\n",
-       "      <td>0.248807</td>\n",
-       "      <td>0.245196</td>\n",
-       "      <td>0.227551</td>\n",
-       "      <td>0.354790</td>\n",
-       "      <td>0.373934</td>\n",
-       "      <td>0.314464</td>\n",
-       "      <td>0.570829</td>\n",
-       "      <td>0.240518</td>\n",
-       "      <td>0.347729</td>\n",
+       "      <td>P1000</td>\n",
+       "      <td>0.791247</td>\n",
+       "      <td>0.807034</td>\n",
+       "      <td>0.579966</td>\n",
+       "      <td>0.560562</td>\n",
+       "      <td>0.559549</td>\n",
+       "      <td>0.393944</td>\n",
+       "      <td>0.811610</td>\n",
+       "      <td>0.828692</td>\n",
+       "      <td>0.410535</td>\n",
+       "      <td>0.726082</td>\n",
+       "      <td>0.504685</td>\n",
+       "      <td>0.683612</td>\n",
        "      <td>Screening Cohort</td>\n",
        "      <td>NP</td>\n",
        "      <td>NP</td>\n",
-       "      <td>10.285714</td>\n",
-       "      <td>2017</td>\n",
-       "      <td>0.571194</td>\n",
-       "      <td>0.060744</td>\n",
-       "      <td>0.075060</td>\n",
-       "      <td>1</td>\n",
+       "      <td>12.140000</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>0.578298</td>\n",
+       "      <td>0.043864</td>\n",
+       "      <td>0.061306</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0</td>\n",
-       "      <td>37</td>\n",
-       "      <td>24.0625</td>\n",
-       "      <td>96</td>\n",
-       "      <td>64</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>26.089845</td>\n",
+       "      <td>121.0</td>\n",
+       "      <td>79.0</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>39.714286</td>\n",
-       "      <td>3064</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>36.857143</td>\n",
+       "      <td>2619.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>5.0</td>\n",
        "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.075060</td>\n",
+       "      <td>0.068223</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>P6</td>\n",
-       "      <td>0.416039</td>\n",
-       "      <td>0.407594</td>\n",
-       "      <td>0.378906</td>\n",
-       "      <td>0.338337</td>\n",
-       "      <td>0.331699</td>\n",
-       "      <td>0.279654</td>\n",
-       "      <td>0.288748</td>\n",
-       "      <td>0.280129</td>\n",
-       "      <td>0.346873</td>\n",
-       "      <td>0.400846</td>\n",
-       "      <td>0.316563</td>\n",
-       "      <td>0.305250</td>\n",
+       "      <td>P1001</td>\n",
+       "      <td>0.414295</td>\n",
+       "      <td>0.412290</td>\n",
+       "      <td>0.364633</td>\n",
+       "      <td>0.479959</td>\n",
+       "      <td>0.475593</td>\n",
+       "      <td>0.207844</td>\n",
+       "      <td>0.575442</td>\n",
+       "      <td>0.580612</td>\n",
+       "      <td>0.281748</td>\n",
+       "      <td>0.397073</td>\n",
+       "      <td>0.387799</td>\n",
+       "      <td>0.479267</td>\n",
        "      <td>Screening Cohort</td>\n",
        "      <td>NP</td>\n",
        "      <td>NP</td>\n",
-       "      <td>13.000000</td>\n",
-       "      <td>2017</td>\n",
-       "      <td>0.454194</td>\n",
-       "      <td>-0.006927</td>\n",
-       "      <td>0.115324</td>\n",
-       "      <td>2</td>\n",
+       "      <td>12.285714</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>0.318082</td>\n",
+       "      <td>0.133383</td>\n",
+       "      <td>0.154956</td>\n",
+       "      <td>1.0</td>\n",
        "      <td>0</td>\n",
-       "      <td>40</td>\n",
-       "      <td>23.1012</td>\n",
-       "      <td>110</td>\n",
-       "      <td>60</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>23.421517</td>\n",
+       "      <td>119.0</td>\n",
+       "      <td>71.0</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>41.857143</td>\n",
-       "      <td>4020</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
+       "      <td>38.142857</td>\n",
+       "      <td>3179.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.0</td>\n",
        "      <td>2</td>\n",
-       "      <td>0.115324</td>\n",
+       "      <td>0.154577</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1613,70 +1643,77 @@
       ],
       "text/plain": [
        "  sample_ID  Tissue_prob_1_1  Tissue_prob_1_2  Tissue_prob_1_3  \\\n",
-       "0        P4         0.792582         0.808320         0.589568   \n",
-       "1        P1         0.349699         0.339600         0.369541   \n",
-       "2        P3         0.417260         0.420013         0.389232   \n",
-       "3        P2         0.619409         0.627307         0.465771   \n",
-       "4        P6         0.416039         0.407594         0.378906   \n",
+       "0        P1         0.384317         0.364520         0.359189   \n",
+       "1       P10         0.547823         0.520887         0.290596   \n",
+       "2      P100         0.351045         0.363696         0.138376   \n",
+       "3     P1000         0.791247         0.807034         0.579966   \n",
+       "4     P1001         0.414295         0.412290         0.364633   \n",
        "\n",
        "   Clinical_prob_2_1  Clinical_prob_2_2  Clinical_prob_2_3  Prob_Combined_3_1  \\\n",
-       "0           0.477428           0.475574           0.350738           0.791405   \n",
-       "1           0.481340           0.478554           0.420624           0.353238   \n",
-       "2           0.353594           0.349403           0.305004           0.328785   \n",
-       "3           0.248807           0.245196           0.227551           0.354790   \n",
-       "4           0.338337           0.331699           0.279654           0.288748   \n",
+       "0           0.489238           0.486340           0.410264           0.381879   \n",
+       "1           0.900248           0.902779           0.579582           0.894628   \n",
+       "2           0.351954           0.349256           0.174186           0.296621   \n",
+       "3           0.560562           0.559549           0.393944           0.811610   \n",
+       "4           0.479959           0.475593           0.207844           0.575442   \n",
        "\n",
        "   Prob_Combined_3_2  Prob_Combined_3_3  Tissue_prob  Clinical_prob  \\\n",
-       "0           0.810865           0.554064     0.730157       0.434580   \n",
-       "1           0.335850           0.330056     0.352946       0.460173   \n",
-       "2           0.326687           0.310380     0.408835       0.336000   \n",
-       "3           0.373934           0.314464     0.570829       0.240518   \n",
-       "4           0.280129           0.346873     0.400846       0.316563   \n",
+       "0           0.361261           0.276223     0.369342       0.461947   \n",
+       "1           0.896921           0.434999     0.453102       0.794203   \n",
+       "2           0.303559           0.146787     0.284372       0.291799   \n",
+       "3           0.828692           0.410535     0.726082       0.504685   \n",
+       "4           0.580612           0.281748     0.397073       0.387799   \n",
        "\n",
        "   Combined_prob            Cohort Outcome  Subtype  NIPS_gestational_age  \\\n",
-       "0       0.718778  Screening Cohort      NP       NP             11.428571   \n",
-       "1       0.339715  Screening Cohort      PE  LOPE-TB             12.142857   \n",
-       "2       0.321951  Screening Cohort      NP       NP             12.000000   \n",
-       "3       0.347729  Screening Cohort      NP       NP             10.285714   \n",
-       "4       0.305250  Screening Cohort      NP       NP             13.000000   \n",
+       "0       0.339788  Screening Cohort      PE  LOPE-TB             12.142857   \n",
+       "1       0.742183  Screening Cohort      PE  LOPE-PB             12.142857   \n",
+       "2       0.248989  Screening Cohort      NP       NP             13.285714   \n",
+       "3       0.683612  Screening Cohort      NP       NP             12.140000   \n",
+       "4       0.479267  Screening Cohort      NP       NP             12.285714   \n",
        "\n",
        "   Year  mean_sequencing_coverage  ChrY_Fetal_Fraction  \\\n",
-       "0  2017                  0.753189            -0.008733   \n",
-       "1  2017                  0.542231             0.098206   \n",
-       "2  2017                  0.717252             0.154607   \n",
-       "3  2017                  0.571194             0.060744   \n",
-       "4  2017                  0.454194            -0.006927   \n",
+       "0  2017                  0.542231             0.098206   \n",
+       "1  2017                  0.443108             0.085220   \n",
+       "2  2017                  0.975463             0.183865   \n",
+       "3  2018                  0.578298             0.043864   \n",
+       "4  2018                  0.318082             0.133383   \n",
        "\n",
-       "   Griffin_Fetal_Fraction Neonatal_Sex  Non-Pregnant_Sample Maternal_age  \\\n",
-       "0                0.145604            2                    0           39   \n",
-       "1                0.156523            1                    0           39   \n",
-       "2                0.185625            1                    0           31   \n",
-       "3                0.075060            1                    0           37   \n",
-       "4                0.115324            2                    0           40   \n",
+       "   Griffin_Fetal_Fraction  Neonatal_Sex  Non-Pregnant_Sample  Maternal_age  \\\n",
+       "0                0.157727           1.0                    0          39.0   \n",
+       "1                0.126031           1.0                    0          36.0   \n",
+       "2                0.189994           1.0                    0          37.0   \n",
+       "3                0.061306           1.0                    0          33.0   \n",
+       "4                0.154956           1.0                    0          35.0   \n",
        "\n",
-       "  NIPS_Maternal_bmi NIPS_sbp NIPS_dbp Onset_of_hypertension_Gestational_age  \\\n",
-       "0         21.963505      116       79                                   NaN   \n",
-       "1         35.338593      112       64                             37.428571   \n",
-       "2         22.075479      108       69                                   NaN   \n",
-       "3           24.0625       96       64                                   NaN   \n",
-       "4           23.1012      110       60                                   NaN   \n",
+       "   NIPS_Maternal_bmi  NIPS_sbp  NIPS_dbp  \\\n",
+       "0          35.338593     112.0      64.0   \n",
+       "1          31.954533     153.0     105.0   \n",
+       "2          25.616051     104.0      70.0   \n",
+       "3          26.089845     121.0      79.0   \n",
+       "4          23.421517     119.0      71.0   \n",
        "\n",
-       "  Delivery_Gestational_age Birthweight Chronic_hypertension  \\\n",
-       "0                39.714286        3258                    0   \n",
-       "1                37.428571        3019                    0   \n",
-       "2                39.571429         NaN                    0   \n",
-       "3                39.714286        3064                    0   \n",
-       "4                41.857143        4020                    0   \n",
+       "   Onset_of_hypertension_Gestational_age  Delivery_Gestational_age  \\\n",
+       "0                              37.428571                 37.428571   \n",
+       "1                              35.000000                 35.142857   \n",
+       "2                                    NaN                 39.000000   \n",
+       "3                                    NaN                 36.857143   \n",
+       "4                                    NaN                 38.142857   \n",
        "\n",
-       "  Pre_gestational_diabetes race ethnicity  Griffin_FF  \n",
-       "0                        0    5         1    0.145604  \n",
-       "1                        1    5         2    0.156523  \n",
-       "2                        0    5         2    0.185625  \n",
-       "3                        0    2         2    0.075060  \n",
-       "4                        0    5         2    0.115324  "
+       "   Birthweight  Chronic_hypertension  Pre_gestational_diabetes  race  \\\n",
+       "0       3019.0                   0.0                       1.0   5.0   \n",
+       "1       2485.0                   1.0                       1.0   5.0   \n",
+       "2       3030.0                   0.0                       0.0   1.0   \n",
+       "3       2619.0                   0.0                       0.0   5.0   \n",
+       "4       3179.0                   0.0                       0.0   2.0   \n",
+       "\n",
+       "  ethnicity  Griffin_FF  \n",
+       "0         2    0.163360  \n",
+       "1         1    0.121944  \n",
+       "2         1    0.192266  \n",
+       "3         2    0.068223  \n",
+       "4         2    0.154577  "
       ]
      },
-     "execution_count": 15,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1739,7 +1776,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "id": "edb16700-945e-44fa-8f3f-ad90f12f9dde",
    "metadata": {},
    "outputs": [
@@ -1773,38 +1810,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>P4</td>\n",
-       "      <td>0.730157</td>\n",
-       "      <td>0.434580</td>\n",
-       "      <td>0.718778</td>\n",
+       "      <td>P1</td>\n",
+       "      <td>0.369342</td>\n",
+       "      <td>0.461947</td>\n",
+       "      <td>0.339788</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>P1</td>\n",
-       "      <td>0.352946</td>\n",
-       "      <td>0.460173</td>\n",
-       "      <td>0.339715</td>\n",
+       "      <td>P10</td>\n",
+       "      <td>0.453102</td>\n",
+       "      <td>0.794203</td>\n",
+       "      <td>0.742183</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>P3</td>\n",
-       "      <td>0.408835</td>\n",
-       "      <td>0.336000</td>\n",
-       "      <td>0.321951</td>\n",
+       "      <td>P100</td>\n",
+       "      <td>0.284372</td>\n",
+       "      <td>0.291799</td>\n",
+       "      <td>0.248989</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>P2</td>\n",
-       "      <td>0.570829</td>\n",
-       "      <td>0.240518</td>\n",
-       "      <td>0.347729</td>\n",
+       "      <td>P1000</td>\n",
+       "      <td>0.726082</td>\n",
+       "      <td>0.504685</td>\n",
+       "      <td>0.683612</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>P6</td>\n",
-       "      <td>0.400846</td>\n",
-       "      <td>0.316563</td>\n",
-       "      <td>0.305250</td>\n",
+       "      <td>P1001</td>\n",
+       "      <td>0.397073</td>\n",
+       "      <td>0.387799</td>\n",
+       "      <td>0.479267</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -1814,63 +1851,63 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>784</th>\n",
-       "      <td>P1044</td>\n",
-       "      <td>0.694055</td>\n",
-       "      <td>0.556804</td>\n",
-       "      <td>0.693297</td>\n",
+       "      <th>826</th>\n",
+       "      <td>P990</td>\n",
+       "      <td>0.719058</td>\n",
+       "      <td>0.594909</td>\n",
+       "      <td>0.663504</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>785</th>\n",
-       "      <td>P1046</td>\n",
-       "      <td>0.413332</td>\n",
-       "      <td>0.625167</td>\n",
-       "      <td>0.626349</td>\n",
+       "      <th>827</th>\n",
+       "      <td>P992</td>\n",
+       "      <td>0.306336</td>\n",
+       "      <td>0.517560</td>\n",
+       "      <td>0.410254</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>786</th>\n",
-       "      <td>P1045</td>\n",
-       "      <td>0.269670</td>\n",
-       "      <td>0.268278</td>\n",
-       "      <td>0.222408</td>\n",
+       "      <th>828</th>\n",
+       "      <td>P995</td>\n",
+       "      <td>0.341091</td>\n",
+       "      <td>0.372236</td>\n",
+       "      <td>0.380987</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>787</th>\n",
-       "      <td>P1048</td>\n",
-       "      <td>0.538690</td>\n",
-       "      <td>0.337788</td>\n",
-       "      <td>0.403719</td>\n",
+       "      <th>829</th>\n",
+       "      <td>P998</td>\n",
+       "      <td>0.547796</td>\n",
+       "      <td>0.353451</td>\n",
+       "      <td>0.492506</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>788</th>\n",
-       "      <td>P1050</td>\n",
-       "      <td>0.594428</td>\n",
-       "      <td>0.567091</td>\n",
-       "      <td>0.690549</td>\n",
+       "      <th>830</th>\n",
+       "      <td>P999</td>\n",
+       "      <td>0.558411</td>\n",
+       "      <td>0.426684</td>\n",
+       "      <td>0.557606</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>789 rows × 4 columns</p>\n",
+       "<p>831 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "    sample_ID  Tissue_prob  Clinical_prob  Combined_prob\n",
-       "0          P4     0.730157       0.434580       0.718778\n",
-       "1          P1     0.352946       0.460173       0.339715\n",
-       "2          P3     0.408835       0.336000       0.321951\n",
-       "3          P2     0.570829       0.240518       0.347729\n",
-       "4          P6     0.400846       0.316563       0.305250\n",
+       "0          P1     0.369342       0.461947       0.339788\n",
+       "1         P10     0.453102       0.794203       0.742183\n",
+       "2        P100     0.284372       0.291799       0.248989\n",
+       "3       P1000     0.726082       0.504685       0.683612\n",
+       "4       P1001     0.397073       0.387799       0.479267\n",
        "..        ...          ...            ...            ...\n",
-       "784     P1044     0.694055       0.556804       0.693297\n",
-       "785     P1046     0.413332       0.625167       0.626349\n",
-       "786     P1045     0.269670       0.268278       0.222408\n",
-       "787     P1048     0.538690       0.337788       0.403719\n",
-       "788     P1050     0.594428       0.567091       0.690549\n",
+       "826      P990     0.719058       0.594909       0.663504\n",
+       "827      P992     0.306336       0.517560       0.410254\n",
+       "828      P995     0.341091       0.372236       0.380987\n",
+       "829      P998     0.547796       0.353451       0.492506\n",
+       "830      P999     0.558411       0.426684       0.557606\n",
        "\n",
-       "[789 rows x 4 columns]"
+       "[831 rows x 4 columns]"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1884,7 +1921,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "id": "c46ae9f2-98df-47ca-bb5b-54a503ce794d",
    "metadata": {},
    "outputs": [
@@ -1892,75 +1929,72 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Total samples in PE validation cohort = 789\n",
-      "Total 0    690\n",
-      "1     99\n",
-      "Name: Actual, dtype: int64\n",
-      "NP = 690\n",
+      "Total samples in PE Screening cohort = 831\n",
+      "Total Actual\n",
+      "0    733\n",
+      "1     98\n",
+      "Name: count, dtype: int64\n",
       "LOPE-TB = 77\n",
-      "LOPE-PB = 11\n",
+      "LOPE-PB = 10\n",
+      "NP = 733\n",
       "EOPE = 11\n",
       "#Performance metrics\n",
-      "bootstrap_n 20\n",
+      "bootstrap_n 1000\n",
       "## Tissue_prob\n",
       "\n",
       "specificity 0.7\n",
-      "AUC 0.76 CI95 (0.7, 0.82)\n",
-      "Specificity 0.7 Sensitivity 0.7 CI95 (0.57, 0.88)\n",
-      "AUC 0.73 CI95 (0.68, 0.82)\n",
-      "Specificity 0.7 Sensitivity 0.56 CI95 (0.43, 0.86)\n",
-      "AUC 0.53 CI95 (0.48, 0.6)\n",
-      "Specificity 0.7 Sensitivity 0.29 CI95 (0.2, 0.4)\n",
+      "AUC 0.74 CI95 (0.67, 0.81)\n",
+      "Specificity 0.7 Sensitivity 0.54 CI95 (0.33, 0.75)\n",
+      "AUC 0.73 CI95 (0.66, 0.8)\n",
+      "Specificity 0.7 Sensitivity 0.62 CI95 (0.4, 0.86)\n",
+      "AUC 0.53 CI95 (0.48, 0.57)\n",
+      "Specificity 0.7 Sensitivity 0.29 CI95 (0.22, 0.35)\n",
       "\n",
       "specificity 0.8\n",
-      "AUC 0.76 CI95 (0.7, 0.82)\n",
-      "Specificity 0.8 Sensitivity 0.39 CI95 (0.2, 0.67)\n",
-      "AUC 0.73 CI95 (0.68, 0.82)\n",
-      "Specificity 0.8 Sensitivity 0.45 CI95 (0.25, 0.67)\n",
-      "AUC 0.53 CI95 (0.48, 0.6)\n",
-      "Specificity 0.8 Sensitivity 0.21 CI95 (0.14, 0.3)\n",
+      "AUC 0.74 CI95 (0.67, 0.81)\n",
+      "Specificity 0.8 Sensitivity 0.49 CI95 (0.29, 0.71)\n",
+      "AUC 0.73 CI95 (0.66, 0.8)\n",
+      "Specificity 0.8 Sensitivity 0.32 CI95 (0.14, 0.5)\n",
+      "AUC 0.53 CI95 (0.48, 0.57)\n",
+      "Specificity 0.8 Sensitivity 0.19 CI95 (0.13, 0.24)\n",
       "\n",
       "specificity 0.9\n",
-      "AUC 0.76 CI95 (0.7, 0.82)\n",
-      "Specificity 0.9 Sensitivity 0.14 CI95 (0.0, 0.5)\n",
-      "AUC 0.73 CI95 (0.68, 0.82)\n",
-      "Specificity 0.9 Sensitivity 0.22 CI95 (0.0, 0.57)\n",
-      "AUC 0.53 CI95 (0.48, 0.6)\n",
-      "Specificity 0.9 Sensitivity 0.12 CI95 (0.07, 0.22)\n",
+      "AUC 0.74 CI95 (0.67, 0.81)\n",
+      "Specificity 0.9 Sensitivity 0.18 CI95 (0.0, 0.33)\n",
+      "AUC 0.73 CI95 (0.66, 0.8)\n",
+      "Specificity 0.9 Sensitivity 0.21 CI95 (0.0, 0.4)\n",
+      "AUC 0.53 CI95 (0.48, 0.57)\n",
+      "Specificity 0.9 Sensitivity 0.11 CI95 (0.06, 0.15)\n",
       "\n",
-      "EOPE Sensitivity at specificity 70 =  0.73\n",
-      "EOPE Sensitivity at specificity 80 =  0.36\n",
-      "EOPE Sensitivity at specificity 90 =  0.09\n",
-      "LOPE-PB Sensitivity at specificity 70 =  0.55\n",
-      "LOPE-PB Sensitivity at specificity 80 =  0.45\n",
-      "LOPE-PB Sensitivity at specificity 90 =  0.18\n",
+      "EOPE Sensitivity at specificity 70 =  0.55\n",
+      "EOPE Sensitivity at specificity 80 =  0.45\n",
+      "EOPE Sensitivity at specificity 90 =  0.18\n",
+      "LOPE-PB Sensitivity at specificity 70 =  0.6\n",
+      "LOPE-PB Sensitivity at specificity 80 =  0.3\n",
+      "LOPE-PB Sensitivity at specificity 90 =  0.2\n",
       "LOPE-TB Sensitivity at specificity 70 =  0.29\n",
-      "LOPE-TB Sensitivity at specificity 80 =  0.19\n",
+      "LOPE-TB Sensitivity at specificity 80 =  0.18\n",
       "LOPE-TB Sensitivity at specificity 90 =  0.1\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 360x360 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 360x360 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
@@ -1970,62 +2004,58 @@
       "## Clinical_prob\n",
       "\n",
       "specificity 0.7\n",
-      "AUC 0.76 CI95 (0.66, 0.96)\n",
-      "Specificity 0.7 Sensitivity 0.71 CI95 (0.57, 1.0)\n",
-      "AUC 0.77 CI95 (0.66, 0.92)\n",
-      "Specificity 0.7 Sensitivity 0.7 CI95 (0.5, 1.0)\n",
-      "AUC 0.68 CI95 (0.64, 0.72)\n",
-      "Specificity 0.7 Sensitivity 0.57 CI95 (0.51, 0.65)\n",
+      "AUC 0.77 CI95 (0.65, 0.95)\n",
+      "Specificity 0.7 Sensitivity 0.73 CI95 (0.57, 1.0)\n",
+      "AUC 0.76 CI95 (0.65, 0.87)\n",
+      "Specificity 0.7 Sensitivity 0.69 CI95 (0.5, 0.86)\n",
+      "AUC 0.67 CI95 (0.63, 0.71)\n",
+      "Specificity 0.7 Sensitivity 0.55 CI95 (0.48, 0.62)\n",
       "\n",
       "specificity 0.8\n",
-      "AUC 0.76 CI95 (0.66, 0.96)\n",
-      "Specificity 0.8 Sensitivity 0.71 CI95 (0.57, 1.0)\n",
-      "AUC 0.77 CI95 (0.66, 0.92)\n",
-      "Specificity 0.8 Sensitivity 0.7 CI95 (0.5, 1.0)\n",
-      "AUC 0.68 CI95 (0.64, 0.72)\n",
-      "Specificity 0.8 Sensitivity 0.39 CI95 (0.29, 0.56)\n",
+      "AUC 0.77 CI95 (0.65, 0.95)\n",
+      "Specificity 0.8 Sensitivity 0.73 CI95 (0.57, 1.0)\n",
+      "AUC 0.76 CI95 (0.65, 0.87)\n",
+      "Specificity 0.8 Sensitivity 0.6 CI95 (0.4, 0.8)\n",
+      "AUC 0.67 CI95 (0.63, 0.71)\n",
+      "Specificity 0.8 Sensitivity 0.4 CI95 (0.33, 0.49)\n",
       "\n",
       "specificity 0.9\n",
-      "AUC 0.76 CI95 (0.66, 0.96)\n",
-      "Specificity 0.9 Sensitivity 0.63 CI95 (0.5, 1.0)\n",
-      "AUC 0.77 CI95 (0.66, 0.92)\n",
-      "Specificity 0.9 Sensitivity 0.5 CI95 (0.25, 0.75)\n",
-      "AUC 0.68 CI95 (0.64, 0.72)\n",
-      "Specificity 0.9 Sensitivity 0.24 CI95 (0.16, 0.33)\n",
+      "AUC 0.77 CI95 (0.65, 0.95)\n",
+      "Specificity 0.9 Sensitivity 0.65 CI95 (0.43, 0.86)\n",
+      "AUC 0.76 CI95 (0.65, 0.87)\n",
+      "Specificity 0.9 Sensitivity 0.49 CI95 (0.29, 0.71)\n",
+      "AUC 0.67 CI95 (0.63, 0.71)\n",
+      "Specificity 0.9 Sensitivity 0.24 CI95 (0.18, 0.31)\n",
       "\n",
       "EOPE Sensitivity at specificity 70 =  0.73\n",
       "EOPE Sensitivity at specificity 80 =  0.73\n",
       "EOPE Sensitivity at specificity 90 =  0.64\n",
-      "LOPE-PB Sensitivity at specificity 70 =  0.73\n",
-      "LOPE-PB Sensitivity at specificity 80 =  0.73\n",
-      "LOPE-PB Sensitivity at specificity 90 =  0.55\n",
-      "LOPE-TB Sensitivity at specificity 70 =  0.56\n",
-      "LOPE-TB Sensitivity at specificity 80 =  0.36\n",
-      "LOPE-TB Sensitivity at specificity 90 =  0.23\n"
+      "LOPE-PB Sensitivity at specificity 70 =  0.7\n",
+      "LOPE-PB Sensitivity at specificity 80 =  0.6\n",
+      "LOPE-PB Sensitivity at specificity 90 =  0.5\n",
+      "LOPE-TB Sensitivity at specificity 70 =  0.55\n",
+      "LOPE-TB Sensitivity at specificity 80 =  0.39\n",
+      "LOPE-TB Sensitivity at specificity 90 =  0.25\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 360x360 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 360x360 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
@@ -2035,62 +2065,58 @@
       "## Combined_prob\n",
       "\n",
       "specificity 0.7\n",
-      "AUC 0.86 CI95 (0.79, 0.97)\n",
+      "AUC 0.85 CI95 (0.77, 0.95)\n",
+      "Specificity 0.7 Sensitivity 0.82 CI95 (0.67, 1.0)\n",
+      "AUC 0.84 CI95 (0.77, 0.92)\n",
       "Specificity 0.7 Sensitivity 0.8 CI95 (0.67, 1.0)\n",
-      "AUC 0.84 CI95 (0.78, 0.91)\n",
-      "Specificity 0.7 Sensitivity 0.84 CI95 (0.67, 1.0)\n",
-      "AUC 0.63 CI95 (0.6, 0.68)\n",
-      "Specificity 0.7 Sensitivity 0.45 CI95 (0.4, 0.53)\n",
+      "AUC 0.62 CI95 (0.58, 0.66)\n",
+      "Specificity 0.7 Sensitivity 0.42 CI95 (0.35, 0.49)\n",
       "\n",
       "specificity 0.8\n",
-      "AUC 0.86 CI95 (0.79, 0.97)\n",
-      "Specificity 0.8 Sensitivity 0.8 CI95 (0.67, 1.0)\n",
-      "AUC 0.84 CI95 (0.78, 0.91)\n",
-      "Specificity 0.8 Sensitivity 0.76 CI95 (0.57, 1.0)\n",
-      "AUC 0.63 CI95 (0.6, 0.68)\n",
-      "Specificity 0.8 Sensitivity 0.37 CI95 (0.31, 0.43)\n",
+      "AUC 0.85 CI95 (0.77, 0.95)\n",
+      "Specificity 0.8 Sensitivity 0.73 CI95 (0.57, 1.0)\n",
+      "AUC 0.84 CI95 (0.77, 0.92)\n",
+      "Specificity 0.8 Sensitivity 0.71 CI95 (0.5, 1.0)\n",
+      "AUC 0.62 CI95 (0.58, 0.66)\n",
+      "Specificity 0.8 Sensitivity 0.33 CI95 (0.25, 0.41)\n",
       "\n",
       "specificity 0.9\n",
-      "AUC 0.86 CI95 (0.79, 0.97)\n",
-      "Specificity 0.9 Sensitivity 0.63 CI95 (0.5, 1.0)\n",
-      "AUC 0.84 CI95 (0.78, 0.91)\n",
-      "Specificity 0.9 Sensitivity 0.47 CI95 (0.17, 0.75)\n",
-      "AUC 0.63 CI95 (0.6, 0.68)\n",
-      "Specificity 0.9 Sensitivity 0.17 CI95 (0.12, 0.27)\n",
+      "AUC 0.85 CI95 (0.77, 0.95)\n",
+      "Specificity 0.9 Sensitivity 0.64 CI95 (0.43, 0.86)\n",
+      "AUC 0.84 CI95 (0.77, 0.92)\n",
+      "Specificity 0.9 Sensitivity 0.44 CI95 (0.2, 0.71)\n",
+      "AUC 0.62 CI95 (0.58, 0.66)\n",
+      "Specificity 0.9 Sensitivity 0.13 CI95 (0.08, 0.19)\n",
       "\n",
       "EOPE Sensitivity at specificity 70 =  0.82\n",
-      "EOPE Sensitivity at specificity 80 =  0.82\n",
+      "EOPE Sensitivity at specificity 80 =  0.73\n",
       "EOPE Sensitivity at specificity 90 =  0.64\n",
-      "LOPE-PB Sensitivity at specificity 70 =  0.82\n",
-      "LOPE-PB Sensitivity at specificity 80 =  0.73\n",
-      "LOPE-PB Sensitivity at specificity 90 =  0.45\n",
-      "LOPE-TB Sensitivity at specificity 70 =  0.44\n",
+      "LOPE-PB Sensitivity at specificity 70 =  0.8\n",
+      "LOPE-PB Sensitivity at specificity 80 =  0.7\n",
+      "LOPE-PB Sensitivity at specificity 90 =  0.4\n",
+      "LOPE-TB Sensitivity at specificity 70 =  0.42\n",
       "LOPE-TB Sensitivity at specificity 80 =  0.35\n",
-      "LOPE-TB Sensitivity at specificity 90 =  0.16\n"
+      "LOPE-TB Sensitivity at specificity 90 =  0.13\n"
      ]
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAATwAAAEvCAYAAADYR30zAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAAsTAAALEwEAmpwYAAAnVUlEQVR4nO3de3wU1f3/8dcxEEURlBJIuIREDAWKxC8ESkUFqRcKFlSweEfrF7wUxIoFrPXuT0UaL21RDPj1WkTEqnyFihTxC6IpGLmIRCAQkMRAgkgqggS25/dHgi5pLpvN7M7M7vv5ePB47M5Odj7zCLw5Z87MOcZai4hIPDjG7QJERKJFgScicUOBJyJxQ4EnInFDgScicUOBJyJxo4lbB27durVNS0tz6/AiEqPy8vJ2W2uTavrMtcBLS0vj448/duvwIhKjjDHba/tMXVoRiRsKPBGJGwo8EYkbCjwRiRsKPBGJGwo8EYkbCjwRiRv1Bp4x5n+MMaXGmPW1fG6MMX8yxhQYY9YZY3o5X6aISOOF0sJ7Hhhcx+e/ADKq/owFnm58WSIizqv3SQtr7TJjTFoduwwHXrSVUyfnGmNOMsakWGtLnCpSJBx7X5rJ7unZmEMH3S5FgrTsWU6r3ns5JrH+2da37Ya01sBYZ2Zmd+IaXntgR9D7oqpt/8EYM9YY87Ex5uOysjIHDi1Suz05TyrsPCjUsPt/C2HYUxD4t3PHjuqghbU2x1qbZa3NSkqq8dleEcfY/d+6XYLUoL6wsxbumQ9/XQmLJkCCgynlxOQBxUDHoPcdqraJeMY8BjM5T5eXPSHH/PC6Wlc1EAiQmppKSUkJ77//Pilnn+3ooZ3IzvnANVWjtf2Acl2/E5Earcuu9aNAIEC7du0oKSnhww8/5GyHww5CaOEZY14BBgKtjTFFwD1AUwBr7QxgITAEKAD2A9c5XqWIxIa8e3943bT59y8rKipISUlh7969fPLJJ5x++ukROXwoo7SX1/O5BX7jWEUiErsO7fvhde97gcqwa9OmDd988w1r166lR48eETu8axOAikic6zmRAwcO0LZtW/bv309+fj5dunSJ6CEVeCLiin379tG2bVsqKirYvHkz6enpET+mAk9Eou5QAJKSkggEAmzbto327Wu8dddxCjwRiY6qEdqDh+BXM+Hf//43xcXFRPOeXM2WIiLRkXcv3x2Ci2eAAUpKSqIadqDAE5Eo2f/tPn45HVo2g1eeeZBWrVpFvQZ1aUWkYdZlV95PF3yLST32fQe/nA4dW8FzoyHhp3dGrr46qIUnIg3TwLD71wEY/CfonFQVdsc2r/+HIkSBJyIN04Cw+/pbOO8J6NkBcq6qCruqG47doC6tSDwKo1taozrmqVu5ciX9+vWjdevWfLikhGMSEhp3LAeohScSj5wIu6a1d02XLVtGv379SE5OpqSkhAQPhB0o8ETikxNhV0vXdPHixQwcOJAOHTqwY8cOz4QdqEsrIg5Nnw6wcOFChg4dyimnnMKWLVsc+16nKPBE4oFT1+zq8PrrrzNy5Ei6du1Kfn5+xI7TGOrSisSD2sKujutwDTF79mxGjhzJaaed5tmwAwWeSHyoLewcuEXk+eef58orr6R3796sW7eu0d8XSerSxrC9L81kT86TWswmHjSky+rgNbunn36am2++mTPOOIMVK1Y49r2RohZeDFPYVTpEAonHH+t2GZEVatg51IUFeOyxx7j55ps555xzfBF2oMCLaQq7yrDb1LQr/cde6HYpkRVq2Dn0lMPDDz/MxIkTGTx4MO+9954j3xkN6tLGic55hQ3+mam9b/r+tZ+XOOzqdgHhCndk1cEua03uuece7r//foYPH86bb74Z0WM5TYEn4lXhhJ2DXdaaTJo0iWnTpvGrX/2KV199NaLHigR1aUW8Kpywi+CD+RMmTGDatGlcc801vgw7UAtPxD0ujayGY+zYscycOZMxY8aQk5Pjai2NoRaeiFtcGFkNx+jRo5k5cya33HKLr8MO1MITcU+UR1bDMWrUKObOncvvfvc7Hn30UdfqcIoCTyRSfNRlrclFF13EW2+9xd133819993ndjmOUOCJRIpPuqw1GTx4MIsWLeKhhx7ijjvucLscxyjwRCLFB13WmgwaNIilS5eSnZ3Nbbfd5nY5jlLgiUSDB7usNTnzzDNZsWIFTz31FDfddFP9P+AzCjwRJ0Vh3rlIycrKIi8vj1mzZnH99de7XU5EKPBEnFRT2HnwGl11PXv25NNPP+Wvf/0rV1xxhdvlRIwCT8RJNYWdx67RVde1a1c2btzIvHnzGDFihNvlRJQCT8QJR7qywXxw3a5z585s3bqVBQsWMGTIELfLiTgFnogTqndlPd6NDQQCpKenU1RUxJIlSxg0aJDbJUWFAk/ECdXDzsPd2EAgQMeOHdm5cyfvv/8+Z599ttslRY0CTyQcdY3GXvdN1MsJVSAQIDk5ma+++orc3Fz69u3rdklRpcATCUeEVwGLhIqKCpKTkykvL2fNmjX07NnT7ZKiToEnEo4IrgIWCRUVFbRp04Z9+/axfv16unXr5nZJrlDgRdjKl/7Bipy3qdh/EIAMCulOAU0JRLWO4OnaJQx1dWE9Php74MAB2rRpw4EDB9i4cSOdO3d2uyTXKPAiLDjsAFfC7hAJjfr5mF/xKxQ+7MIClJeX065dOyoqKti6dSupqalul+SqkCYANcYMNsZsNMYUGGOm1PB5qjFmqTFmtTFmnTEm9m/oCVFw2AGuhN0GTg375xOPPzb2V/wKhc+6sAB79uwhOTmZw4cPs2PHjrgPOwihhWeMSQCmA+cBRcAqY8x8a+2GoN3+AMy11j5tjOkOLATSIlCvr03Oe5otvdO/fx/OSmLh8O2qXW7ycRcWoKysjA4dOmCMoaioiKSkJLdL8oRQWnh9gQJr7VZrbQUwBxhebR8LtKh63RL40rkSRVzg0y4sQHFxMe3bt+eYY45h165dCrsgoQRee2BH0Puiqm3B7gWuMsYUUdm6G+9IdSJu8WEXFqCwsJC0tDSaNm1KWVkZLVu2dLskT3Fq0OJy4HlrbbYx5mfAS8aYHtbafwfvZIwZC4wFdD1B/MMHXViATZs20b17d44//nh27dpFs2bN3C7Jc0Jp4RUDHYPed6jaFux6YC6AtfYj4DigdfUvstbmWGuzrLVZamaLZ63LdruCBjtyb13z5s3ZvXu3wq4WoQTeKiDDGJNujEkELgPmV9vnC+DnAMaYblQGXpmThYpETfCsJz64ZrdmzRoyMzM56aSTKC0tJTEx0e2SPKvewLPWHgbGAYuAfCpHYz8zxtxvjBlWtdtEYIwxZi3wCnCttdYf/QCR6oKv33n8ml1ubi69evWidevWCrsQhHQNz1q7kMrBiOBtdwe93gD0d7Y0kSiob0r2nhOjWk5DLFu2jIEDB5KSksIXX3xBQkLjbjCPByHdeCwSs+oKOw93ZxcvXsyAAQNITU1V2DWAAk/iW11h59Hu7Ntvv83555/PqaeeyrZt2xR2DaBnaSV+VR+N9cHtJ6+//jojR46kW7dubNiwof4fkKOohSfxy2ejsS+//DIjR44kMzNTYRcmBZ7ELx+Nxs6cOZOrr76aPn36sGbNGrfL8S0FnsSXddnw3ImQY47e7uHR2L/85S+MHTuWM888k5UrV7pdjq8p8CS++Gyh7OzsbMaPH8+gQYNYvny52+X4ngJP4ouPFsp+8MEHuf322xkyZAhLlixxu5yYoFFaiV8eHpW96667ePDBB7nooot444033C4nZijwJDbU98SEj9x+++1kZ2czatQo5syZ43Y5MUVdWokNDQ07j163Gz9+PNnZ2Vx33XUKuwhQC09iQ0PDzoPX7caMGcOsWbO44YYbmDFjhtvlxCQFXgiqL7VYm5qWYBwZ9HnwehbikCNd2WAevjZXm6uvvpqXX36ZCRMm8MQTT7hdTsxS4IUglLCDhi3BaI4/obFlCfxnV9ajXdW6XHrppcybN49JkyYxdepUt8uJabqGF4JQwg5CX4LRHH8CrcZOaExJckT1sPNgV7Uuw4cPZ968edx7770KuyhQC6+BJuc9XetnbizBGJdqG5G97htXygnXBRdcwLvvvssjjzzC5MmT3S4nLijwxH989rRETQYMGMCyZct4/PHHufXWW90uJ24o8MR/fPS0RE3OOOMMPvroI2bMmMENN9zgdjlxRYEn/hEDI7K9evVi9erVPPfcc1x77bVulxN3FHjiHz4fkT3ttNNYv349c+bMYdSoUW6XE5cUeOIfPh6R/fGPf8ymTZv429/+xsUXX+x2OXFLgSfeV1NX1kcjsqeccgqFhYUsWLCAIUOGuF1OXFPgiff5tCsbCARIS0ujuLiYJUuWMGjQILdLinsKPPE+H3ZlA4EA7du3p7S0lOXLl9O/v5Zt9gIFnviLD7qygUCA5ORk9uzZw6pVq+jdu7fbJUkVPVom3nVk/QkfqaioICkpiT179rB69WqFnceohSfe5bNrdwcOHCA5OZlvv/2W9evX061bN7dLkmoUeOJdPrp2t2/fPpKTkzl48CAbN26kc+fObpckNVDgiff47DaU8vJyUlJSOHToEFu2bCE1NdXtkqQWCjzxHh91Zffs2UO7du2w1rJjxw6Sk5PdLknqoEEL8R6fdGV37txJSkoKACUlJQo7H1ALT7zBZ3PcFRcXk56eTpMmTSgpKaFly5ZulyQhUAtPvMFHc9wVFhaSlpZGYmIipaWlCjsfUeCJN/hkjrtNmzaRkZFBs2bNKCsro3lzb4ay1Cwuu7ShrkIWqr0vzWRPzpOOfJfg2Tnu1q9fT2ZmJi1atGDXrl0kJia6XZI0UFy28MINu8Tjj61x+56cJ7H7v/3+vVYkiz15eXlkZmZy8skns3v3boWdT8Vl4IUbdv3HXljjZ9XDTiuSxZbc3Fz69OlDUlISu3btIiEhwe2SJExx2aUNVtcqZOE4Zfl6R78vLqzLdruCWr3//vsMGjSIdu3asX37doWdz8VlC088JvipCg+NzC5atIhzzjmHTp06KexihAJP3Bc8QuuRkdn58+czePBgMjIyKCwsVNjFiJACzxgz2Biz0RhTYIyZUss+vzLGbDDGfGaMme1smRI3ek50uwJee+01hg8fzk9+8hM2bdrkdjnioHqv4RljEoDpwHlAEbDKGDPfWrshaJ8M4A6gv7X2a2NMm0gVLD5V25MUHvPiiy8yevRoTj/9dFavXu12OeKwUFp4fYECa+1Wa20FMAcYXm2fMcB0a+3XANbaUmfLFN8LJexcvn43c+ZMRo8eTd++fRV2MSqUwGsP7Ah6X1S1LVgXoIsxZoUxJtcYM9ipAiVGhBJ2Ll6/+/Of/8zYsWM566yz+Oc//+laHRJZTt2W0gTIAAYCHYBlxpjTrLV7g3cyxowFxgKaMyyeeexJikcffZTJkydz7rnnsnjxYrfLkQgKpYVXDHQMet+haluwImC+tfaQtbYQ2ERlAB7FWptjrc2y1mYlJSWFW7OIYx544AEmT57M0KFDFXZxIJTAWwVkGGPSjTGJwGXA/Gr7vEll6w5jTGsqu7hbnStTxHl33nknd999NyNGjODtt992uxyJgnoDz1p7GBgHLALygbnW2s+MMfcbY4ZV7bYI+MoYswFYCvzOWvtVpIoWH/HoymO33XYbDz30EFdccQXz5s1zuxyJkpCu4VlrFwILq227O+i1BW6r+iPyAw9O1z5u3DimT5/Or3/9a5599lm3y5Eo0pMWElkem679+uuvZ/r06fzmN79R2MWhuJ88QKLI5enar7zySmbPns1vf/tbHnvsMVdrEXeohSdxYeTIkcyePZvf//73Crs4phaexLwLL7yQBQsWcP/993PXXXe5XY64SIEnzvDos7LnnXce//jHP5g6dSqTJk1yuxxxmQJPnFFf2LkwOnv22WezfPly/vSnPzF+/PioH1+8R4Enzqgv7KI8OvvTn/6UlStXkpOTw5gxY6J6bPEuBZ44z+VnZXv16sXq1at54YUXuOaaa1ytRbwlpgMvnOUYjyy5GLwwj9ThyLU7j+jRowefffYZc+fO5dJLL3W7HPGYmA68+sKupmUXGxN2cbk8o4eepMjIyKCgoIC33nqLYcOG1f8DEndiOvDqC7uall1sTNjF5fKMHniSIhAIcOqpp7Jt2zbeeecdLrjggqjXIP4Q04EXLJzlGDvnFUagEh8K9ZYTF56kCAQCdOrUiS+//JKlS5cycODAqNcg/hE3gSeN4NHp2QOBAO3bt6e0tJQPP/yQfv36Rb0G8RcFntTPg9OzBwIB2rZty9dff82qVavo3bt3VI8v/qTAk9rVNALrgenZKyoqaNu2Lf/6179Yu3YtPXr0cLsk8QkFntTOQyOwRxw4cIC2bduyf/9+8vPz6dKli9sliY8o8KR2HhiBDbZv3z6Sk5M5ePAgmzdvJj093dV6xH8UeHK02kZkXZ7Lrry8nJSUFA4fPsy2bdto3776SqEi9dN8eHK0msLO5a5sWVkZbdu2JRAI8MUXXyjsJGxq4cnRago7F7uyO3fupFOnThhjKCkpoVWrVq7VIv6nwJPauTwi+8UXX9C5c2eaNm1KSUkJLVu2dLUe8T91acWTCgsL6dy5M8cddxylpaUKO3GEAk88Jz8/n4yMDI4//nhKS0tp3tz922EkNijwxFPWrVtHjx49aNGiBWVlZTRr1sztkiSG6BqeeGY9iry8PPr27UurVq3YuXMnCQkJrtYjsUctPPHErSgrVqygT58+tGnTRmEnEaPAE9dvRXnvvfc466yz6NChA0VFRQo7iRh1aeVoUb4VZeHChQwdOpT09HS2bt0a1WNL/FELT1zzxhtvMHToULp06aKwk6hQ4IkrXn31VS655BJ69OjBxo0b3S5H4kTMdGnDWaHsiJhfqcwjo7BHvPjii4wePZpevXqRl5fndjkSR2KmhVdX2NW0OlmwmsIuplYgCzXsojAy+8wzzzB69Gh+9rOfKewk6mIm8OoKu5pWJwtWU9jF1ApkoYZdhEdmn3jiCW688UYGDBjAhx9+GNFjidQkZrq0wcJZoeyImFiprK4urEsTAkydOpUpU6Zw/vnns2jRIldqEImZFp4EqS3sXJrX7r777mPKlCkMGzZMYSeuiskWXtyrLexcmNfujjvu4JFHHmHkyJG89tprUT++SDAFXqxzcU67W2+9lSeffJJrrrmGF154wbU6RI5QlzaWrMuG5050uwoAbrzxRp588kn++7//W2EnnqHAiyUeWVbx17/+Nc888wzjxo1j5syZrtQgUhN1aWOJB5ZVvOKKK3jllVeYOHEif/zjH6N+fJG6KPD8zkPLKl588cW8+eab/OEPf+CBBx6I+vFF6hNSl9YYM9gYs9EYU2CMmVLHfiOMMdYYk+VciVInD8xlBzB06FDefPNNHnjgAYWdeFa9LTxjTAIwHTgPKAJWGWPmW2s3VNvvRGAC8M9IFCq18MCyij//+c957733+OMf/8jEiROjemyRhgilS9sXKLDWbgUwxswBhgMbqu33ADAV+J2jFcp/qq0b68ItKGeddRYffPABf/7znxk3blzUjy/SEKF0adsDO4LeF1Vt+54xphfQ0Vq7wMHapDYe6cb27duXDz74gFmzZinsxBcaPWhhjDkGeAy4NoR9xwJjAVJTUxt76PjlgW7s6aefztq1a3nppZe46qqronpskXCFEnjFQMeg9x2qth1xItADeN8YA5AMzDfGDLPWfhz8RdbaHCAHICsry91l7f0glHnsXOjGduvWjc8//5x58+YxYsSIqB9fJFyhBN4qIMMYk05l0F0GXHHkQ2ttOdD6yHtjzPvA7dXDTsJQX9i50I3NyMigoKCA//3f/+XCC+uedkvEa+q9hmetPQyMAxYB+cBca+1nxpj7jTHDIl1gXKsv7KLYjQ0EAqSlpVFQUMC7776rsBNfCukanrV2IbCw2ra7a9l3YOPLilMenMcOKsMuNTWVkpIS/u///o+zzz7btVpEGkNPWniJx+axg8qwa9euHWVlZeTm5tK3b1/XahFpLAWel3hoHjuAiooKUlJS2Lt3L5988gmnn366K3WIOEWB51UudmGhMuzatGnDN998w9q1a+nRo4er9Yg4wdeB19ClGT21HKPHlk4MduDAAdq2bcv+/fvJz8+nS5cubpck4ghfB15NYVfXkoz1hV1Ul2asK+xcvGa3b98+2rZtS0VFBZs3byY9Pd21WkSc5uvAqyns6lqSsb6wi+rSjHWFnUvX7MrLy0lOTiYQCLBt2zbat29f/w+J+IivAy9YQ5dmdGU5Rg899F9dWVkZHTt2xFpLcXExSUlJbpck4jhN8R5NHnnov7qdO3fSoUMHjDGUlJQo7CRmKfCiyQMP/Vf3xRdf0LFjR5o0aUJZWRmtWrVytR6RSIqZLq1nebgbu2XLFrp27cpxxx1HaWkpzZo1c7skkYhSCy/SPNqNzc/P58c//jEnnHACX331lcJO4oICL9I82I1dt24dPXr0oEWLFpSWlpKYmOhqPSLRoi5tNHmgG7ty5Ur69etH69atKSkpISEhwe2SRKJGLbw4smzZMvr160dycrLCTuKSAi9OLF68mIEDB9KxY0d27NihsJO4pMCLAwsXLuT8888nPT2d7du3K+wkbinwYtwbb7zB0KFD6dq1K1u2bHG7HBFXKfBi2OzZs7nkkks47bTTyM/Pd7scEdcp8GLU888/z5VXXklWVhbr1q1zuxwRT1DgRdK6bFcO+/TTT3PdddfRv39/Vq1a5UoNIl6kwIukvHt/eB2lpysee+wxbr75Zs455xw++OCDqBxTxC8UeJEU/JRFFJ6uePjhh5k4cSKDBw/mvffei/jxRPxGgee0ddnw3ImQY47e3nNiRA97zz338Pvf/57hw4fz97//PaLHEvErPVrmNBcmC5g0aRLTpk1j1KhRzJkzJ6LHEvEztfCcFuXJAiZMmMC0adMYPXq0wk6kHr5s4R1ZrQwgg0K6U8CW3i4vNnNk3rtgEZ4sYOzYscycOZMxY8aQk5MT0WOJxAJftvCCVyvrTgFNCTTo5yOyOln1rmyEu7HXXnstM2fO5JZbblHYiYTIly284NXKwgm7iKxOVj3sItiNHTVqFHPnzmXSpElMnTo1YscRiTW+DLzauLISGfznDcbXfROxQ1100UW89dZb3H333dx3330RO45ILIqpwHNNlG4w/sUvfsE777zDQw89xB133BGx44jEKgWeE6Jwg/GgQYNYunQp2dnZ3HbbbRE5hkisU+CFo7aVyCAiNxifeeaZrFixgqeeeoqbbrrJ8e8XiRcKvHDUFnYR6M5mZWWRl5fHc889x7XXXuv494vEEwVeOGoLO4e7sz179uTTTz9lzpw5jBo1ytHvFolHCrzGitDNxd26dePzzz9n3rx5jBgxIiLHEIk3vrzx2DVHJgaIsM6dO/P555+zYMEChZ2Ig9TCa4gIP00RCARIT0+nqKiIJUuWMGjQIEe/XyTeKfAaIoJPUwQCATp27MjOnTtZvnw5/fv3d+y7RaSSAi9UEXyaIhAIkJKSwu7du8nNzaVv376OfbeI/ECBF6oIPU1RUVFBSkoKe/fuZc2aNfTs2dOx7xaRo4U0aGGMGWyM2WiMKTDGTKnh89uMMRuMMeuMMUuMMZ2cL9VlEXiaoqKigjZt2lBeXs769esVdiIRVm/gGWMSgOnAL4DuwOXGmO7VdlsNZFlrewLzgEedLtRTHHia4sCBA/zoRz/i22+/ZePGjXTr1s2BwkSkLqG08PoCBdbardbaCmAOMDx4B2vtUmvt/qq3uUAHZ8uMLeXl5bRu3ZrvvvuOLVu20LlzZ7dLEokLoQRee2BH0Puiqm21uR7QKjK12LNnD8nJyRw+fJgdO3aQmprqdkkiccPRQQtjzFVAFjCgls/HAmOBuPyHXlZWRocOHTDGUFRURFJSktslicSVUFp4xUDHoPcdqrYdxRhzLnAnMMxae7D65wDW2hxrbZa1Nive/rEXFxfTvn17jjnmGHbt2qWwE3FBKIG3CsgwxqQbYxKBy4D5wTsYY/4LeIbKsCt1vkx/KywsJC0tjaZNm1JWVkbLli3dLkkkLtUbeNbaw8A4YBGQD8y11n5mjLnfGDOsardpQHPgNWPMGmPM/Fq+Lu5s2rSJjIwMmjVrxu7du2nePLKL+4hI7UK6hmetXQgsrLbt7qDX5zpc1384sjRj8AI+GURoDYu6JvhsgPXr15OZmcmJJ55IaWkpiYmJztQnImHxzWwp1cMO4CcUfP/a0aUX6wq7EJ+yWLNmDZmZmZx00kkKOxGP8E3gVQ+7xOOPpUnQEo2OLr1YV9iF8JRFbm4uvXr1onXr1go7EQ/x5bO0k/OeBmBL77e+33bS1WOc+fLqkwQ0cILPZcuWMXDgQNq1a8f27dtJSEhwpi4RaTTftPCiphGTBCxevJgBAwaQmpqqsBPxIAVedWFOEvD2229z/vnnc+qpp7Jt2zaFnYgHKfCOqGn69hAnCXj99df55S9/Sbdu3di8eXMEihMRJyjwjghz+vaXX36ZkSNHkpmZyYYNGyJTm4g4QoF3RBjTtz/77LNcffXV9OnThzVr1kSsNBFxhi9HaSMuhOnb//KXvzB+/HjOPPNMli9fHoWiRKSx1MILQ3Z2NuPHj2fQoEEKOxEfUeA10IMPPsjtt9/OkCFDWLJkidvliEgDxG+XNoznZe+66y4efPBBLrnkEl5//fXI1SYiERG/gVdb2NUyOnv77beTnZ3N5ZdfzuzZsyNbm4hERPx2aWsLuxpGZ8ePH092djbXXXedwk7Ex+K3hResjudlx4wZw6xZs7jhhhuYMWNGFIsSEafFbwsvBFdffTWzZs1iwoQJCjuRGKDAq8Wll17Kyy+/zJQpU3jiiSfcLkdEHKDAq8Hw4cOZN28e9957Lw8//LDb5YiIQ3QNr5oLLriAd999l0ceeYTJkye7XY6IOEiBF2TAgAEsW7aMxx9/nFtvvdXtckTEYQq8KmeccQYfffQRM2bM4IYbbnC7HBGJAF8FXgaFdKeALb3Ta98pjCcoevfuzSeffMILL7zANddc0/hCRcSTfBV43SmgadDCPUcctWJZA8Nu2rvH8MknnzBnzhxGjRrlQJUi4lW+Crzawu6oFcsaEHYPLDQ8tvjf/O1vf+Piiy92okQR8TBfBV6wznkhLMJdxxMUp5xyCoWFhbzzzjtccMEFDlYmIl7l28ALVyAQID09naKiIpYuXcrAgQPdLklEoiSuAi8QCNChQwd27drF8uXL6d+/v9sliUgUxVbgVV9EO0ggECA5OZk9e/awatUqevfuHcXCRMQLYivwallEu6KiguTkZMrLy1m9ejU9e/aMfm0i4rrYCrwaFtE+cOAAycnJfPvtt+Tn59OlSxd3ahMR18VW4AXrOZF9+/aRnJzMwYMH2bx5M+npddywLCIxz9+BV8dTFeXl5aSkpHDo0CG2bNlCampq9OsTEU/xd+DVEnYHOYG2bdtirWXHjh0kJydHvzYR8Rx/B14NYXfAnkDmPd8BTSgpKaFVq1bRr0tEPMk3gden51rSe2/nmMSqpydyzNE7jLUUFxeTnp5OkyaJ7NpVQsuWLaNfqIh4lm9mPO7f++Mfwq66ps0pLCwkLS2NxMRESktLFXYi8h98E3jHJh6q+YOmzSlqdzMZGRk0a9aMsrIymjeveW1ZEYlvvunSBtvyTNr3kwesX7+ezMxMWrRowa5du0hMTHS5OhHxKt+08GqSl5dHZmYmJ598Mrt371bYiUidfBt4ubm59OnTh6SkJHbt2kVCQoLbJYmIx/ky8Dbur+CMM86gXbt2FBcXK+xEJCQhBZ4xZrAxZqMxpsAYM6WGz481xrxa9fk/jTFpjlda5cu9cNHGL+nUqRPbt29X2IlIyOoNPGNMAjAd+AXQHbjcGNO92m7XA19ba08FHgemOl0owI49MDAb+jU/jsLCQoWdiDRIKC28vkCBtXartbYCmAMMr7bPcOCFqtfzgJ8bY6rdGdw423bDgGy4aQA8l6FHxUSk4UIJvPbAjqD3RVXbatzHWnsYKAd+VP2LjDFjjTEfG2M+Lisra1Cht7wKE8+F355bbZUyEZEQRfU+PGttDpADkJWVVfsKOzWYdwMkVlV71CplIiIhCiXwioGOQe87VG2raZ8iY0wToCXwlSMVVkm8+Yd8PMnJLxaRuBFKl3YVkGGMSTfGJAKXAfOr7TMfGF31eiTwnrW2QS04EZFIq7eFZ609bIwZBywCEoD/sdZ+Zoy5H/jYWjsfeBZ4yRhTAOyhMhRFRDwlpGt41tqFwMJq2+4Oev0dcKmzpYmIOMuXT1qIiIRDgScicUOBJyJxQ4EnInFDgScicUOBJyJxQ4EnInHDuPVAhDGmDNjewB9rDeyOQDnRFivnAToXr4qVcwnnPDpZa5Nq+sC1wAuHMeZja22W23U0VqycB+hcvCpWzsXp81CXVkTihgJPROKG3wIvx+0CHBIr5wE6F6+KlXNx9Dx8dQ1PRKQx/NbCExEJmycDz0vLQjZGCOdxmzFmgzFmnTFmiTGmkxt1hqK+cwnab4QxxhpjPDtCGMq5GGN+VfW7+cwYMzvaNYYihL9fqcaYpcaY1VV/x4a4UWcojDH/Y4wpNcasr+VzY4z5U9W5rjPG9ArrQNZaT/2hcpLRLcApQCKwFuhebZ+bgRlVry8DXnW77jDP4xzg+KrXN3nxPEI9l6r9TgSWAblAltt1N+L3kgGsBk6uet/G7brDPI8c4Kaq192BbW7XXcf5nA30AtbX8vkQ4O+AAfoB/wznOF5s4XliWUgH1Hse1tql1tr9VW9zqVwvxItC+Z0APEDlmsTfRbO4BgrlXMYA0621XwNYa0ujXGMoQjkPC7Soet0S+DKK9TWItXYZlbOl12Y48KKtlAucZIxJaehxvBh4ji0L6bJQziPY9VT+D+ZF9Z5LVRejo7V2QTQLC0Mov5cuQBdjzApjTK4xZnDUqgtdKOdxL3CVMaaIyhnLx0entIho6L+nGkV1mUapmTHmKiALGOB2LeEwxhwDPAZc63IpTmlCZbd2IJWt7mXGmNOstXvdLCoMlwPPW2uzjTE/o3LdmR7W2n+7XZhbvNjCa8iykERqWUgHhHIeGGPOBe4EhllrD0aptoaq71xOBHoA7xtjtlF5jWW+RwcuQvm9FAHzrbWHrLWFwCYqA9BLQjmP64G5ANbaj4DjqHw21Y9C+vdUL7cvVtZwcbIJsBVI54eLsT+pts9vOHrQYq7bdYd5Hv9F5YXnDLfrbey5VNv/fbw7aBHK72Uw8ELV69ZUdqV+5HbtYZzH34Frq153o/IannG79jrOKY3aBy2GcvSgxcqwjuH2SdZyckOo/F91C3Bn1bb7qWwFQeX/VK8BBcBK4BS3aw7zPP4B7ALWVP2Z73bN4Z5LtX09G3gh/l4MlV30DcCnwGVu1xzmeXQHVlSF4RrgfLdrruNcXgFKgENUtrCvB24Ebgz6nUyvOtdPw/37pSctRCRuePEanohIRCjwRCRuKPBEJG4o8EQkbijwRCRuKPBEJG4o8EQkbijwRCRu/H8R7GwnCjFWrAAAAABJRU5ErkJggg==\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 360x360 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 360x360 with 1 Axes>"
+       "<Figure size 500x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -2211,7 +2237,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "PEARL",
    "language": "python",
    "name": "python3"
   },
@@ -2225,7 +2251,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.6"
+   "version": "3.9.23"
   }
  },
  "nbformat": 4,
diff --git a/README.md b/README.md
index b7037bb..b027067 100644
--- a/README.md
+++ b/README.md
@@ -28,7 +28,16 @@ xgboost	|	1.6.1
 Meta data - Supplementary_Tables.xlsx  
 Features data - Raw_feature_tables.xlsx  
 
+## Generate Input files:
+```bash
+python reconstruct_metadata.py       # → Supplementary_Tables_v2.xlsx
+python reconstruct_raw_features.py   # → Raw_feature_tables.xlsx
+```
+
 ## Installation guide  
+```bash
+pip install -r requirements.txt
+```
 Load jupyter notebook in jupyterlab  
 
 ## Demo/ Instructions for use  
@@ -39,7 +48,7 @@ Update path for output files.
 ## Expected Outputs  
 Trained Griffin-FF model  
 Trained Griffin-PE models   
-Figure 2G & 2H  
+Figure 3G & 2H  
 
 
 
diff --git a/data/41591_2025_3509_MOESM2_ESM.xlsx b/data/41591_2025_3509_MOESM2_ESM.xlsx
new file mode 100644
index 0000000..bac8059
Binary files /dev/null and b/data/41591_2025_3509_MOESM2_ESM.xlsx differ
diff --git a/reconstruct_metadata.py b/reconstruct_metadata.py
new file mode 100644
index 0000000..82adabc
--- /dev/null
+++ b/reconstruct_metadata.py
@@ -0,0 +1,98 @@
+"""
+Reconstruct `Supplementary_Tables_v2.xlsx` (the `Meta_data` input of the notebook)
+from the published Nature Medicine supplementary workbook.
+
+The notebook loads metadata with:
+
+    Meta_data = pd.read_excel("Supplementary_Tables_v2.xlsx",
+                              sheet_name='Supplementary Table 2')
+
+That internal "v2" workbook is missing.  The published supplementary file
+`41591_2025_3509_MOESM2_ESM.xlsx` contains the same per-sample metadata, but:
+
+  * it lives on sheet 'Supplementary Table 1' (not 'Supplementary Table 2'),
+  * several columns were renamed (NIPS_* -> PDNAS_*, Griffin_* -> PEARL_*,
+    Non-Pregnant_Sample -> Non-Pregnant_Female, ...),
+  * an `Excluded` flag column was added (178 samples excluded from analysis),
+  * cohort / subtype labels were renamed for publication.
+
+Filtering to `Excluded == 0` and applying the label maps below reproduces the
+cohort sizes reported in the paper exactly (PE-Training n=450 with
+EPE=38 / LPE-PB=35 / LPE-TB=62 / NP=315; PDNAS validation n=831;
+FF-training n=395), matching Extended Data Fig. 7.
+
+This script writes a fresh `Supplementary_Tables_v2.xlsx` whose
+'Supplementary Table 2' sheet has the column/label conventions the notebook
+expects, so `PE_source_code.ipynb` runs unchanged.
+"""
+
+import os
+import pandas as pd
+
+ROOT = os.path.dirname(os.path.abspath(__file__))
+SRC = os.path.join(ROOT, "41591_2025_3509_MOESM2_ESM.xlsx")
+OUT = os.path.join(ROOT, "Supplementary_Tables_v2.xlsx")
+
+# published column name -> name expected by the notebook
+COLUMN_MAP = {
+    "PDNAS_gestational_age": "NIPS_gestational_age",
+    "PEARL_Fetal_Fraction": "Griffin_Fetal_Fraction",
+    "Non-Pregnant_Female": "Non-Pregnant_Sample",
+    "PDNAS_Maternal_age": "Maternal_age",
+    "PDNAS_Maternal_bmi": "NIPS_Maternal_bmi",
+    "PDNAS_sbp": "NIPS_sbp",
+    "PDNAS_dbp": "NIPS_dbp",
+    "Race": "race",
+    "Ethnicity": "ethnicity",
+}
+
+# published cohort label -> notebook label
+COHORT_MAP = {"PDNAS Validation Cohort": "Screening Cohort"}
+
+# published subtype label -> notebook label
+#   EPE    (early PE)                 -> EOPE
+#   LPE    (late PE, term birth)      -> LOPE-TB
+#   LPE-PB (late PE, preterm birth)   -> LOPE-PB
+SUBTYPE_MAP = {"EPE": "EOPE", "LPE": "LOPE-TB", "LPE-PB": "LOPE-PB"}
+
+# column order used by the notebook's Meta_data
+COLUMN_ORDER = [
+    "sample_ID", "Cohort", "Outcome", "Subtype", "NIPS_gestational_age", "Year",
+    "mean_sequencing_coverage", "ChrY_Fetal_Fraction", "Griffin_Fetal_Fraction",
+    "Neonatal_Sex", "Non-Pregnant_Sample", "Maternal_age", "NIPS_Maternal_bmi",
+    "NIPS_sbp", "NIPS_dbp", "Onset_of_hypertension_Gestational_age",
+    "Delivery_Gestational_age", "Birthweight", "Chronic_hypertension",
+    "Pre_gestational_diabetes", "race", "ethnicity",
+]
+
+
+def build_meta_data() -> pd.DataFrame:
+    df = pd.read_excel(SRC, sheet_name="Supplementary Table 1")
+
+    df = df[df["Excluded"] == 0].copy()
+    df = df.drop(columns=["Excluded"])
+
+    df = df.rename(columns=COLUMN_MAP)
+    df["Cohort"] = df["Cohort"].replace(COHORT_MAP)
+    df["Subtype"] = df["Subtype"].replace(SUBTYPE_MAP)
+
+    df = df[COLUMN_ORDER]
+    return df
+
+
+def main():
+    meta = build_meta_data()
+
+    print("Meta_data shape:", meta.shape)
+    print("\nCohort counts:")
+    print(meta["Cohort"].value_counts(dropna=False))
+    print("\nPE-Training subtype counts:")
+    print(meta[meta["Cohort"] == "PE-Training Cohort"]["Subtype"].value_counts(dropna=False))
+
+    with pd.ExcelWriter(OUT, engine="openpyxl") as xw:
+        meta.to_excel(xw, sheet_name="Supplementary Table 2", index=False)
+    print("\nWrote", OUT)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/reconstruct_raw_features.py b/reconstruct_raw_features.py
new file mode 100644
index 0000000..602f462
--- /dev/null
+++ b/reconstruct_raw_features.py
@@ -0,0 +1,157 @@
+"""
+Reconstruct `Raw_feature_tables.xlsx` from the compiled Griffin profile CSVs.
+
+Background
+----------
+The notebook `PE_source_code.ipynb` loads a workbook `Raw_feature_tables.xlsx`
+with three sheets that are merged with the metadata on `sample_ID`:
+
+    Griffin_scATAC_features = 'Raw feature Table 1'   # scATAC-derived tissue sites
+    Griffin_DNase_features  = 'Raw feature Table 2'   # DNase (DHS) tissue sites
+    Griffin_TFBS_features   = 'Raw feature Table 3'   # transcription-factor sites
+
+That workbook is missing.  Per private communication the underlying data are the
+four compiled Griffin runs in `data/`:
+
+    Nucleosome_TFBS_profiles_Griffin_run_compiled_v1.csv.gz       (fragments 120-180 bp)
+    Nucleosome_Tissue_profiles_Griffin_run_compiled_v1.csv.gz     (fragments 120-180 bp)
+    Subnucleosome_TFBS_profiles_Griffin_run_compiled_v1.csv.gz    (fragments  35-80  bp)
+    Subnucleosome_Tissue_profiles_Griffin_run_compiled_v1.csv.gz  (fragments  35-80  bp)
+
+Each row is one Griffin coverage profile: 132 columns of GC-corrected normalized
+coverage sampled every 15 bp from -990 .. +975 bp around the site, followed by
+Griffin metadata columns (..., mean_coverage, central_coverage, ..., site_name,
+..., sample).
+
+Feature definitions (Adil et al. 2025, Nature Medicine, Fig. 1c & Methods)
+--------------------------------------------------------------------------
+    MCV     mean coverage around the site, +/- 1000 bp
+            -> mean of all 132 position columns (equals Griffin's `mean_coverage`)
+    NDR-30  normalized coverage at the nucleosome-depleted region, +/- 30 bp
+            -> mean of position columns with |pos| <= 30  (bins -30,-15,0,15,30)
+    NDR-75  normalized coverage at the nucleosome-depleted region, +/- 75 bp
+            -> mean of position columns with |pos| <= 75  (11 bins)
+
+Feature naming used by the notebook
+-----------------------------------
+    <site>_<fragment>_<metric>   e.g. Placental_120_180_MCV, GRHL2_120_180_NDR-75,
+                                       Endothelial_35_80_NDR-30
+For TFBS the Griffin `site_name` looks like `GRHL2.hg38.10000_120_180`; the
+`.hg38.10000` token is stripped so it becomes `GRHL2_120_180`.
+
+The tissue sheets are split into scATAC vs DNase using the bed-file directories
+under `data/Bed_files_hg38/`.
+"""
+
+import os
+import numpy as np
+import pandas as pd
+
+DATA_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "data")
+BED_DIR = os.path.join(DATA_DIR, "Bed_files_hg38")
+OUT_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "Raw_feature_tables.xlsx")
+
+NUC_TFBS = os.path.join(DATA_DIR, "Nucleosome_TFBS_profiles_Griffin_run_compiled_v1.csv.gz")
+NUC_TISSUE = os.path.join(DATA_DIR, "Nucleosome_Tissue_profiles_Griffin_run_compiled_v1.csv.gz")
+SUB_TFBS = os.path.join(DATA_DIR, "Subnucleosome_TFBS_profiles_Griffin_run_compiled_v1.csv.gz")
+SUB_TISSUE = os.path.join(DATA_DIR, "Subnucleosome_Tissue_profiles_Griffin_run_compiled_v1.csv.gz")
+
+
+def _clean_site_name(site_name: str) -> str:
+    """`GRHL2.hg38.10000_120_180` -> `GRHL2_120_180`; tissue names are unchanged."""
+    return site_name.replace(".hg38.10000", "")
+
+
+def _compute_features(csv_path: str) -> pd.DataFrame:
+    """Read one compiled Griffin CSV and return a wide (sample_ID x feature) frame.
+
+    Feature columns are `<clean_site>_<MCV|NDR-30|NDR-75>`.
+    """
+    df = pd.read_csv(csv_path)
+
+    position_cols = [c for c in df.columns if c.lstrip("-").isdigit()]
+    w30 = [c for c in position_cols if abs(int(c)) <= 30]
+    w75 = [c for c in position_cols if abs(int(c)) <= 75]
+
+    prof = df[position_cols].astype(np.float64)
+    out = pd.DataFrame({"sample_ID": df["sample"].values})
+    out["site"] = df["site_name"].map(_clean_site_name).values
+    out["MCV"] = prof.mean(axis=1).values
+    out["NDR-30"] = prof[w30].mean(axis=1).values
+    out["NDR-75"] = prof[w75].mean(axis=1).values
+
+    long = out.melt(id_vars=["sample_ID", "site"],
+                    value_vars=["MCV", "NDR-30", "NDR-75"],
+                    var_name="metric", value_name="value")
+    long["feature"] = long["site"] + "_" + long["metric"]
+    wide = long.pivot_table(index="sample_ID", columns="feature", values="value")
+    wide.columns.name = None
+    return wide.reset_index()
+
+
+def _bed_site_names(subdir: str) -> set:
+    """Site base names (without fragment suffix) taken from a bed-file directory."""
+    path = os.path.join(BED_DIR, subdir)
+    return {os.path.splitext(f)[0] for f in os.listdir(path) if f.endswith(".bed")}
+
+
+def build_tables():
+    print("Computing nucleosome (120-180 bp) tissue features ...")
+    nuc_tissue = _compute_features(NUC_TISSUE)
+    print("Computing sub-nucleosome (35-80 bp) tissue features ...")
+    sub_tissue = _compute_features(SUB_TISSUE)
+    print("Computing nucleosome (120-180 bp) TFBS features ...")
+    nuc_tfbs = _compute_features(NUC_TFBS)
+    print("Computing sub-nucleosome (35-80 bp) TFBS features ...")
+    sub_tfbs = _compute_features(SUB_TFBS)
+
+    tissue = pd.merge(nuc_tissue, sub_tissue, on="sample_ID", how="inner")
+    tfbs = pd.merge(nuc_tfbs, sub_tfbs, on="sample_ID", how="inner")
+
+    scatac_sites = _bed_site_names("scATAC_sites")
+    dnase_sites = _bed_site_names("DHS_sites")
+
+    def _sites_in(colname: str) -> str:
+        # feature col -> base tissue name, e.g. `Placental_trophoblast_120_180_MCV`
+        # -> `Placental_trophoblast`. Fragment tokens are always `120_180` or `35_80`.
+        base = colname
+        for frag in ("_120_180", "_35_80"):
+            idx = base.find(frag)
+            if idx != -1:
+                return base[:idx]
+        return base
+
+    scatac_cols = ["sample_ID"] + [c for c in tissue.columns
+                                   if c != "sample_ID" and _sites_in(c) in scatac_sites]
+    dnase_cols = ["sample_ID"] + [c for c in tissue.columns
+                                  if c != "sample_ID" and _sites_in(c) in dnase_sites]
+
+    unmatched = [c for c in tissue.columns
+                 if c != "sample_ID" and _sites_in(c) not in scatac_sites
+                 and _sites_in(c) not in dnase_sites]
+    if unmatched:
+        print("WARNING: tissue columns not matched to scATAC or DHS bed dirs:")
+        print(sorted(set(_sites_in(c) for c in unmatched)))
+
+    scatac = tissue[scatac_cols]
+    dnase = tissue[dnase_cols]
+    return scatac, dnase, tfbs
+
+
+def main():
+    scatac, dnase, tfbs = build_tables()
+
+    print("\nReconstructed table shapes (rows = samples, cols include sample_ID):")
+    print("  Raw feature Table 1 (scATAC):", scatac.shape)
+    print("  Raw feature Table 2 (DNase) :", dnase.shape)
+    print("  Raw feature Table 3 (TFBS)  :", tfbs.shape)
+
+    with pd.ExcelWriter(OUT_PATH, engine="openpyxl") as xw:
+        scatac.to_excel(xw, sheet_name="Raw feature Table 1", index=False)
+        dnase.to_excel(xw, sheet_name="Raw feature Table 2", index=False)
+        tfbs.to_excel(xw, sheet_name="Raw feature Table 3", index=False)
+    print("\nWrote", OUT_PATH)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..13dc697
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,13 @@
+matplotlib==3.7.1
+numpy==1.26.4
+pandas==2.0.2
+scipy==1.12.0
+seaborn==0.11.2
+scikit-learn==1.6.1
+xgboost==2.1.4
+joblib==1.5.3
+statannotations==0.7.2
+lifelines==0.27.8
+statsmodels==0.14.6
+openpyxl==3.1.5
+ipykernel==6.31.0