diff --git a/.gitignore b/.gitignore
index 4b9b235..ad1d22e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,5 +2,4 @@
.ipynb_checkpoints
# Large downloaded data files
-data/expression.tsv.bz2
-data/mutation-matrix.tsv.bz2
+download/
diff --git a/1.TCGA-MLexample.ipynb b/1.TCGA-MLexample.ipynb
deleted file mode 100644
index 3bb820a..0000000
--- a/1.TCGA-MLexample.ipynb
+++ /dev/null
@@ -1,1029 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Create a logistic regression model to predict TP53 mutation from gene expression data in TCGA"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "import os\n",
- "import urllib\n",
- "import random\n",
- "import warnings\n",
- "\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "import matplotlib.pyplot as plt\n",
- "import seaborn as sns\n",
- "from sklearn import preprocessing, grid_search\n",
- "from sklearn.linear_model import SGDClassifier\n",
- "from sklearn.cross_validation import train_test_split\n",
- "from sklearn.metrics import roc_auc_score, roc_curve\n",
- "from sklearn.pipeline import make_pipeline\n",
- "from sklearn.preprocessing import StandardScaler\n",
- "from sklearn.feature_selection import SelectKBest\n",
- "from statsmodels.robust.scale import mad\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "%matplotlib inline\n",
- "plt.style.use('seaborn-notebook')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Specify model configuration"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "# We're going to be building a 'TP53' classifier \n",
- "GENE = 'TP53'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "# Parameter Sweep for Hyperparameters\n",
- "n_feature_kept = 500\n",
- "param_fixed = {\n",
- " 'loss': 'log',\n",
- " 'penalty': 'elasticnet',\n",
- "}\n",
- "param_grid = {\n",
- " 'alpha': [10 ** x for x in range(-6, 1)],\n",
- " 'l1_ratio': [0, 0.05, 0.1, 0.2, 0.5, 0.8, 0.9, 0.95, 1],\n",
- "}"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "*Here is some [documentation](http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html) regarding the classifier and hyperparameters*\n",
- "\n",
- "*Here is some [information](https://ghr.nlm.nih.gov/gene/TP53) about TP53*"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Load Data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "if not os.path.exists('data'):\n",
- " os.makedirs('data')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "url_to_path = {\n",
- " # X matrix\n",
- " 'https://ndownloader.figshare.com/files/5514386':\n",
- " os.path.join('data', 'expression.tsv.bz2'),\n",
- " # Y Matrix\n",
- " 'https://ndownloader.figshare.com/files/5514389':\n",
- " os.path.join('data', 'mutation-matrix.tsv.bz2'),\n",
- "}\n",
- "\n",
- "for url, path in url_to_path.items():\n",
- " if not os.path.exists(path):\n",
- " urllib.request.urlretrieve(url, path)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "CPU times: user 1min 31s, sys: 1.84 s, total: 1min 33s\n",
- "Wall time: 1min 34s\n"
- ]
- }
- ],
- "source": [
- "%%time\n",
- "path = os.path.join('data', 'expression.tsv.bz2')\n",
- "X = pd.read_table(path, index_col=0)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "CPU times: user 1min 17s, sys: 2.08 s, total: 1min 19s\n",
- "Wall time: 1min 19s\n"
- ]
- }
- ],
- "source": [
- "%%time\n",
- "path = os.path.join('data', 'mutation-matrix.tsv.bz2')\n",
- "Y = pd.read_table(path, index_col=0)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "y = Y[GENE]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "sample_id\n",
- "TCGA-02-0047-01 0\n",
- "TCGA-02-0055-01 1\n",
- "TCGA-02-2483-01 1\n",
- "TCGA-02-2485-01 1\n",
- "TCGA-02-2486-01 0\n",
- "TCGA-04-1348-01 1\n",
- "Name: TP53, dtype: int64"
- ]
- },
- "execution_count": 10,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# The Series now holds TP53 Mutation Status for each Sample\n",
- "y.head(6)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0 0.655334\n",
- "1 0.344666\n",
- "Name: TP53, dtype: float64"
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Here are the percentage of tumors with NF1\n",
- "y.value_counts(True)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Set aside 10% of the data for testing"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'Size: 20,501 features, 6,935 training samples, 771 testing samples'"
- ]
- },
- "execution_count": 13,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Typically, this can only be done where the number of mutations is large enough\n",
- "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.1, random_state=0)\n",
- "'Size: {:,} features, {:,} training samples, {:,} testing samples'.format(len(X.columns), len(X_train), len(X_test))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Median absolute deviation feature selection"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "def fs_mad(x, y):\n",
- " \"\"\" \n",
- " Get the median absolute deviation (MAD) for each column of x\n",
- " \"\"\"\n",
- " scores = mad(x) \n",
- " return scores, np.array([np.NaN]*len(scores))\n",
- "\n",
- "# select the top features with the highest MAD\n",
- "feature_select = SelectKBest(fs_mad, k=n_feature_kept)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Define pipeline and Cross validation model fitting"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 15,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "# Include loss='log' in param_grid doesn't work with pipeline somehow\n",
- "clf = SGDClassifier(random_state=0, class_weight='balanced',\n",
- " loss=param_fixed['loss'], penalty=param_fixed['penalty'])\n",
- "\n",
- "# joblib is used to cross-validate in parallel by setting `n_jobs=-1` in GridSearchCV\n",
- "# Supress joblib warning. See https://github.com/scikit-learn/scikit-learn/issues/6370\n",
- "warnings.filterwarnings('ignore', message='Changing the shape of non-C contiguous array')\n",
- "clf_grid = grid_search.GridSearchCV(estimator=clf, param_grid=param_grid, n_jobs=-1, scoring='roc_auc')\n",
- "pipeline = make_pipeline(\n",
- " feature_select, # Feature selection\n",
- " StandardScaler(), # Feature scaling\n",
- " clf_grid)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 16,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "CPU times: user 13.3 s, sys: 1.12 s, total: 14.4 s\n",
- "Wall time: 34.4 s\n"
- ]
- }
- ],
- "source": [
- "%%time\n",
- "# Fit the model (the computationally intensive part)\n",
- "pipeline.fit(X=X_train, y=y_train)\n",
- "best_clf = clf_grid.best_estimator_\n",
- "feature_mask = feature_select.get_support() # Get a boolean array indicating the selected features"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 17,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "{'alpha': 0.1, 'l1_ratio': 0}"
- ]
- },
- "execution_count": 17,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "clf_grid.best_params_"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 18,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "SGDClassifier(alpha=0.1, average=False, class_weight='balanced', epsilon=0.1,\n",
- " eta0=0.0, fit_intercept=True, l1_ratio=0, learning_rate='optimal',\n",
- " loss='log', n_iter=5, n_jobs=1, penalty='elasticnet', power_t=0.5,\n",
- " random_state=0, shuffle=True, verbose=0, warm_start=False)"
- ]
- },
- "execution_count": 18,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "best_clf"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Visualize hyperparameters performance"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 19,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "def grid_scores_to_df(grid_scores):\n",
- " \"\"\"\n",
- " Convert a sklearn.grid_search.GridSearchCV.grid_scores_ attribute to \n",
- " a tidy pandas DataFrame where each row is a hyperparameter-fold combinatination.\n",
- " \"\"\"\n",
- " rows = list()\n",
- " for grid_score in grid_scores:\n",
- " for fold, score in enumerate(grid_score.cv_validation_scores):\n",
- " row = grid_score.parameters.copy()\n",
- " row['fold'] = fold\n",
- " row['score'] = score\n",
- " rows.append(row)\n",
- " df = pd.DataFrame(rows)\n",
- " return df"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Process Mutation Matrix"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 20,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "
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- "
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- " \n",
- " \n",
- " | \n",
- " alpha | \n",
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- " l1_ratio | \n",
- " score | \n",
- "
\n",
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- " alpha fold l1_ratio score\n",
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- "execution_count": 20,
- "metadata": {},
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- }
- ],
- "source": [
- "cv_score_df = grid_scores_to_df(clf_grid.grid_scores_)\n",
- "cv_score_df.head(2)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 21,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
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qe2+Dwe649akbN66nu7sbEhIAWL363bjEHSq2bXP77Tfxy1/+jOuuu9r1LSgG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4XuoPJDL3Kks2TUOBaXlPHMotUUORRnrGNtzaw/foic7FzN9gcAr/fCFvDvt/zDsmbNzdhsNnbv\nhf7068YmRYDPy8tn2bKVlxwzGPlspbjd6kKJc+p66usuldmz50EojHwk5o0vJcfOefKxevAHmT17\nnm7VlwsXXkVmxN3DarWxYsVqXeJc7jgcTubNuxJQWl3MmTN/YDdIIBDoglrBnmbLpjvgS5jIrc69\n5FozRQX7ZY7ZbObzn/8Sv/3tH3nhhZe48cZbdLuGkGWZX/7yx4SCQagag3ywDvafIPj7DSCDYXo5\nHo+b3/3u17rEFwgGmlAoxI9/vI4jR2qoLDBQXWTg+PGj/PCH39fsfkEgEGiDrgJ7WVnZXKC0pqZm\nFnA38P24ZXbgYeCKmpqauUBFWVnZh/ahvP76m7j11jtxBwI8telf/HTXZtxxIsVD0+aSH7E97F2R\nIcsy2+rreOTff2PbmTrGjCnjPx77zwvarV+I5ctXUlQ0nK11YY439xRlZFnmz7uD+INwyy13aNbn\nUSUrq3+B3eeF5GSL5n2SJk2qVt7/hPLcOVMibXbPi6uuE4qIomW/eVCq3TweN3i7YxWmHR7Cr+8E\nk/FDT8B/GPwX6LWuZQW7JElUV08h5HPhOaVYefZnqwrgObmXUJeb6uop/b3lh6aqagopKSnsPvF2\nD8tKWZbZdexNjEYj06dfWn/WC2EymfjMZz7PmjU3c911N/KFh7+sa8/G98Pr9fL973+bYDDApyfP\nPs9SNZ6xWbncMmEyna5Onn/+O5dscV1aqgjsJ9tkHBaJ7NSev7XsVAmHRRk71a4cf1RRXguKikbw\n5S8/RkpKCpu3QnuHMkn9zmbFnvqRR752yVaYhYVFrFi+mpALXFvPX56UIWG0gcHWM5FHxbMPAudg\n+vRZVFZWnf8GH4Ko8BrsX2DvT5y9mFhpaenQEWttIVltSM60HqKq5ExDikxwyJF1L1XoHjNGqSTz\nnYmV9RUs+bTSDBZFXFePM0FfJ/62s4wuHaNJdanRaMRoNBIM9X9MDUYt0PXpYdrf+5pM2lmuXww5\nObm4/N1436f3fKPHhdFovKCLzcVgs6Xiv8A9m9bXE6odtDnydfRlo6x+VRdjHZ2ens7Xv/5fTJ48\nDf8ZxdbQvVs+r5o9KUMi/06JvDv7PsYEO2RaX4X2NyDZaOHTn/4s11xz/YfeHpWYwN7dY1xNFtRa\nYB8zZixTp05HPneW8PE+7EiA4LtbIBjg+utu1Mx2dO5cpSVS+/43+l0nHArQUfMOVpuNyZMvzZY+\nnrFjy+nye2mIVLH35mRjDbIsU1Y2TrOYoLS7ATjRoTgA3Tx2JTePjYm2tZ3KuB6Vw+9HaekYlixZ\nzll3Jy/s3R4d//j4yT1cebwBP8+/u5GwLHP3J+/TrHodoKvLF33cV0/yLtV+SyMcDie33/5JgkHY\ntCVmFa8SCCjjkiRxzz33a3LOUa9XQ5FcgfdrQ6Gul5qqzXXu3LlXYjSZCO87fl5CjSzLhPedQJIk\nFixYpEm8vrBabXzvuz/khRde5L//+5fk5eXrFuty58477+FXv/o9zz//M03biwgEgsGDKnRnOwvo\nDngTVnSgOlcVpubhDfgwm5NjyegCgU7s37+Xw4drkIrzkPcf7zHvG/rndqSKEshysmnTRhoaLuzO\nJRB81PD7u3nuuWfYvHkjIzIkbqgycV2liZGZEtu2bea7332K7u7u938jgUCQEPSuYF8IvAxQU1Nz\nCEgrKytTZ2X9QDfgKCsrMwEpQP/N1PtBkiSWLl3B1x//L4YXjeDNuqN8ccNf2HhSmUwocqTzzKLV\n/GTFjT0qMpo8bp7d8m++v/0tvMEga9bczKOPPnHR4jooFY933fUpJEnif3cHCcVN3O4/G+bguTDl\n5eN1ySq/UI9zX5dSva51ZuGkSdWYzWZ8R/ruaxpslwk0QUXFBM1FUY/Ho8TsXV3a7gZzEi63fgL7\nhexYLlTdfjEsXKjYSLbseAVZlvu1VZXlMC07XunxGi1ITk5m9ux5uLxt1JzeER2vazxEU8dppk6d\nrrkA0JusrGxWr76Oa69dc9H9tLXi97//DU1NjVw9ZjyT8nr2GO9LCFtcUsb0ghEcPlzDa6+9ckmx\nMzOzcDqd0er026aZiLT0JDtV4rZpygxtWJY51SaTm5un+e9u+PBi7rnnAUIh+McGWL8BgkG4665P\naVYtf+211yuVpvvAd+L844plFKT0Ecp/Tsa1VZnQvu22tZe8HZIkKRPsF+iFqqUV2siRo5A9bmR3\nrLTOtGh5VOiWnGnK8wjyuTOYTKZLbr9RXj4eg8GAu25PdCw5owCTLR2jLb3HccYTWUfLhCmLxUJ3\nwIfJ2PckTSgciKynT4VGf73LtexpfjHk5Q0D4OwFzmUyMmfdneTm5mlaeQvvL6BrbRGv3hyqphB9\n2Siry/z+i7uRtNlS+exnv8i99z6A1WyjczM0/0k5dvTGkNzzekkOybh2yDS9BN2nYeLESTz55HeZ\nNeviKtdVHA4lSUsV1KPoJLAD3HjjrRiNRkLbNyH3SvwKtzQTrjlAYWHRJfefjic/fxgTJlTiO3uY\nrqa6PtdxHdlKyOdiwfxFmgq548dPBODYmT19Lj92dk+P9bRCPSce6+hb2D/afrLHeonmhhtuYcSI\nEt6sO8qbdecnW4Rlmf/e8Q6NHhdXX32t5n01VQG9v57k3d3aCuwAM2dewfTps2hqhoOHei7b+R64\n3bBixeqLduLpTWqqnbT0dAKNyn3ShdpQyCHlnik3L1+ztktOp5MrZs2BDg9yXUOPZfKZZmjpYOrU\n6WRladcaoS8kScJgMGqSmCe4MCaTSXzOAsEQRr3+9vk9+Lo9mie89h9XieMOeHEHvJo7WQkEfbF1\n6yYApDHDocPTMyGz3Q2+bgwTR/VYVyAYCgSDAb773afZufNdRmdLfHJWEmaThNkkcdfMJMpyJHbv\n3sW3v/0tTV10BQLBxaP3HVgeENc0lubIGDU1Nd3AE8Bx4ASwtaampu9ymg9ASckonvjGU9x00yfw\nI/PfO9/h2S2v0xGpkLBGJstlWebftYf50ut/Y/e5M4yvmMC3nvwOq1dfp4kFbWnpGObPX8Q5l8zW\nWkX8DYVlXtkfwmgwcMcdn9TFQudCFvGBwIUF+IvFYklh2rSZhDrBf+b85Z6Dyr9q5ZKWXNACPjkJ\nt+vDV7h9UEKh/sv6tD65jRhRzLRpM+hqPE7nkS3R8fNsVWs209VUy4wZszTvd79o0VIAttX8Izq2\nPfJ48WLt7EIHO2fO1PP66xsosDv52NjYRPypzjYe3vAX7nn1RR7e8BdOdcZ6QEmSxB2V00k1J/Py\ny3/E47n4nqKSJFFaOoaOLpl2r0yew4DTAmkWeGSRmTyHcjhvcsv4AsqxSA+mTp3OxImT8PuhqwvK\nysYxa9Yczd7fbE7mwQe/gNlspv1f54tfzpkSzpl9VJW+BoQl7rvvIc0qd5KTkyHQv8Cu1SQ4KC1P\nAEK1x6JjhoxMjBMqMVRMxHzDJzBEbMBlVydySzNjx5ZfshCVmmpXKjwbj+PvjJ2u7aOm4CjtWUXa\neVSpdNSyutRmS8Xnd5OakkamvWdf90xHfjRRXa+JnP6qL8zmga3KKChQkhrqXR39rtPZ3YU3EGDY\nsIJ+17lYLiSgGwwSyckX336hL1SHlEg+SZ82yuqlUzB48W4gkiQxZ858nn32B8ydu4BACzT/GTo2\ny8ihvi3TA82KHbxrOzjsaTzwwOf54hcf1USUUgV2zhPY9bGIB8X+evHipciuTkIH9/VYFtquWLTf\nfPNtmrdlWLbsagBad68/b5ksh2nd/Q8MRqOmNuSgJARJksTh+l19xJU5Uv8eFksKZWXatjJKS0sn\nJyeXI221PdpggNIW42h7LTk5uQNWaWo2m3nooYexWq38avc2att75ji/cmQfOxtOU14+nuuvv0nz\n+Or1cn89ybV0hFKRJIk77vgkDoeTPftAvVVobIIjRxUXHS1beEmSROXEasK+2H1SxhKl/QT0bEPR\nfRpkP1ROvDT3nd6ov7vwnmM9xuXI8+XLV2kaTyAQCAT6kZysVI53eJoJy6GECexWqxWjwYjL78Hl\n9wyoo6Dg8qG29gQYDZDh6DshMxRGGpYVW1cgGCL8z//8mr17dzMu18DaGUkkmyRe2Rfk5d0BzCaJ\nO2YkUZFv4MCBfbzwwi8GenMFAgGQ6CajUVUkYhH/FaAUcAGvl5WVTaipqdnb34vT062Y+ms+HOHO\nO29l2bJFPPfcc+zcuZOvvvl3HplxJUXOdMJymF+8t5U36o6SmprKg/fdx8KFCzUXvD/1qbvZvPkt\n/n3Ez7RiA7tOhWnxyKxadTWVldr3IgfIyLBiMBiQpDDxBUmpNnB7ID8/l+xs7S+EP/ax1Wzc+Cae\n/ZAcN8cvB2V8Ncrk8dKlCzWtRgJoaurfthlzEv42F05nsuZxASwW5WdjNpvJzs6mqakpOhFot5s1\n/5zvv/8+3ntvF02bXyJ1+ASMlp43UkGfi6YtfyDZYuH+++/TPH529jiqqqrYtWsXTR31WJKs1Jze\nwahRo7jiiqm69VwaCC50jHn55beRZZnrxlZiiqsWfW7bW7T6uygoKKCpqYnvb3uLZxbFekzazcks\nLy3npQO72LfvXVauvPi+nlVVlezYsZ3a1jCTrMo29P74T7QoIlF1daUuv3mAr33tUXbv3g3AhAkT\nSEvTtuVFdvZ4Hn30Ub7+9a/T+neZzKtlkrL63s+CLpmWVyDsg/vv/zQLF2on9lutVtwXqCAuKMgi\nI0Obz3jZskX89re/JFxzALmiMvq7Mk0/v0I2VHMAgKuuWqTJd7xs2RIOHNhHZ80msqYq+27OzDU9\n1gm4WvCePsDYsWOZMEG75I2srEwONR0iHA6zZu5D/OTvXyUsh8h05LNmzoMcOLkNgOHD83XZn222\nvoXizEyHbr+fD3ItU1GhWPefcXUwLjO3z3UaPIrbwejRozTf1qwsxc0nLQXaY07OGCVItTvIydH2\nN9/ZqWy/mlCh2ii/+OKL0XOsKn9brcmX/PdmZ9t59NEvcfXVy/nud7/Dmd1n8Z+BjKUyRlvsWOM9\nJNPxNsghWL58OXfffbem1ftFRRG7ZN/5FvHJFguFhdonRwKsXXs7b7zxb7p370AeW4FkMhFuOkf4\nVC0TJkxg4cI5mp/br7xyNn/4Qwknjr1LYPp1JNkzo8s8J/fhbzvDwoULGTtWW8v07Gw7FRUV7N+3\nH7evg9SUWNJCY/tp2tyNzJkzh/x8bdssAFRVTWL9+vWc7DxDsTPWa72u8wzeYBdzq+frcpz5IMcY\nUD6bL3/5y3zta19j3btv8835K0g2mTjW1swfD+4mKzOTxx77Gmlp2icBmEzK/qUm0yxZsqRHT/KU\nFJMun012tp1Pf/o+nnzySXa9B3OugHd3KssefvgLDBum7X6wevUK3nzzX7j3KPdJSRkSOTdBuFvu\n4ZThjhgsXHPNSk3/7uzsCqqrq9m5cydySwdSphO5w4N88hzjxo1j5szJmsUSXD580GOMQCDQHqfT\nSXOLkrWVk5Op2/1Kb9LS02h2tdId8pOVpW9ccYwRAAQC3WBOQjJI5yVkvvjiizQAWJT53lDIr9s+\nGQqF2LRpE5IkMWvWrIQ6xWzfvp1gMMjMmTMTFvNyYDAfY3bt2sU///kauXaJW6eaMBklGjrDvH0s\nRFiGw01+bptm4pYpJn7wZoDXX/8nCxfOY+rUqQO96QLBZY3eAvsZIhXrEYYBanOUccCxmpqaNoCy\nsrK3gclAvwJ7W5v3AwU1Gm189rNf4pVX/sJLL/0P39q0gSfmLeeVI/t4o+4oJSUjeeihL5KVlU1z\nsx6Vzkbmz1/Ea6+9yv6zYd45HsJgMLBw4XKamlzv//KLxOlMo6urla4uZZLaYYeKcti8FVJS7LrE\nzs4uoqhoOKdqTxLyxCamfcch3AVzFy2go6MbpRuAdtTXN/W/0Kzs1nV1DZdk+d8fHRF7ogceeCA6\nIaj2UWxu7iQtTdvP2Wi08bGPreH3v/8tTVv+RN7823ssb9ryR0Jdbm78+G1IUmEkG38AACAASURB\nVIou3/OcOVeya9cu3jv2JinJqYTlMHPnLtTp96M9H/Ri+0LHmF273sNkMFCVF5skb+/y0ervOm9f\naO/ykRZnaT1t2HBeOrCLHTt2MX36vIv+OwoLFYv8o81hJhUamVhw/kXhseZwZN1ROh5vJMaOVSqu\nAwF0iTNqVAX33vsZfvzjH9DyikzmKvm8fsghj0zL3yDkgjVrbmbmzAWabktysgXa28Bpg4449wGT\nEYIhvN4woZBW8UxMmTKdrVs3IZ85jVRQ1OdacjBI+OA+rFYb5eXVmvy948ZVkZJipePgW2RWr0Ay\nnn9p0H7wLUBmzhxtP2OHI42wHMblayMnrQi7NR1ZDnP/1c8AsOXg/wFgNFp12c9kue8bZK83+KHi\nfZgb+g9yLWO1KueuM64OkvqpJG71KvtkWlq25p+NJCkV/AvHmPjzniBhWWlF4emWSUnR/rvweBRn\nmFAI1D9XtVFWUYuAZdmgWfz8/BKeeOIZfvWrn7Bx41u0/AUyr1GsnD37FXHdarPx6fseYtKkarze\nMF6vdn+7JCkuGLK3dwV7F05Hmo7HcAMLF17Fq6/+hfCxwxjLygntVSq8V6y4Vrdz+1VXreDHP15H\n275/kTPzhuh4255/AnDllct0+ZsrKyezb98+DtfvpLo05qp06PS7AEyYMFmXuCNHlgHrOdB6tIfA\nfqBVMewqKRnzgeNqfYxRKSkZx9KlK3jttVf56+F9XDduIj/ftYWwLHPPvZ8hEDDq8tn4Ii4NfSXT\nALhcPt32/4qKyZSUjOLEiWMcOQqtrTBt2kyysgo1j5mdXcTo0WUcOVKDv1HGnKNcx8SL691nZfz1\nSpsChyNH822YN28xO3fuJHywDuPsiYQPKW0a5s9frOt9qeCjhV7HGIFAoC2pqXZaWpoBMJv1uT/q\nC7vdSW3LcQCs1g8/tyiOMYIPS3KyBboDyOFwvwmZquuXyZSs22/hX//6B7/85U8AuOeeB5g7d74u\ncXpz7lwDX/3qVwH4z/98esDbZSaCrVs30dTUxPLlV19UIoMW874DSVtbK0899RQGCW6abMIcSUh+\nYZsyHwOKY+kL24I8ssjMTZNNPPdGgGeeeYYnnniazMzMC7y7QCC4VC50jNE79eofwPUAZWVl1UB9\nTU2NqlLUAuPKyspUj90pwBGtAhsMBlatupbbbltLZ3cXn/3H/7LhxGGGF43gy1/+uu795hYsWAzA\nPw6FqO+Qqays1sWmPZ60tDT8frCmgNUKq1bG+pnqZUEpSZLS8zsM3prYuFcpsIx+Dlrj9V7Aajti\n7ev16nPSDIVC/VpahkIXb117IZYuXUlR0XA6Dr2N79zx6Ljv3DE6a95h+IhilixZoUtsgKqqKVhT\nrBw4uY2DJ7dhNBqZMWOWbvEGI52dnTiSLT3ErkA/+0Kg136QmWKLvselUFIyCmuKlcONMrIss3K8\niZXjY2JoWJY50iSTlpami210opk9ey533/0pwl3Q+iqE3DEL53C3TMurEOqEa665ntWrr9M8fkqK\nFfwBDIunxqwC0lLBacNgNGrukLF8uWLlGnzv3X7XCR/aj9zlY9GiJVgs2th0WywW5s1bQNDbgev4\njvNjBv10HHgTmy2VGTMured0b7KzlersNve56JgkxS5NWl3nkCRJt3N2f9+hHu4nHwa73YHNZuOs\nu5M0Swp5qT0rxvNTHbR3K6Xl+fnDNI+vWk6mmOnRisIfBqtV2/7rEGsB0N0NKSnQ23nSYY/9BLW2\nw7RYLNx772dYtepjBDuh+WVw7VDEdbvDwWP/8U0mTarWNKZK9NrM24U0sgBpZAFyWAafX5cEwXgW\nL16KJEmEag4gd3URPnGMgoJCKiom6BZzxowrcDiddB7aSDgYEVjbG/DWH2TcuApGjCjWJa7a1uLQ\nqZ7H1ppT72I0Gpk0SVtbbpXycuWz3N/S8/bmQOS5np/1h+H6628mPS2d/zt2gA0nDnOys405cxZo\n3nc9nniHhPie5HFr6Bp72TLFTWhbZJdQn+sRS7XY79yqtCWIR5ZlOiMdoPSw4geYNKkah8OBfKwe\nORRGPnqalBQrU6fO0CWeQCAQCPTD6XT2+Vhv4t1s9L5GFQgACguHQzgMnd5oQubatWujxU0YDciN\nSntGrdtkqnR2dvCnP70Yff6HP/4OjycxRUZHjx6OPj5y5PAF1hwayLLMD37wHX7/+99QW3v8/V8w\nxHC5OnnyySdoa2tjWbmRwjRlTqyzS6bJLWM2mykoKMBsNtPklunskhnmNLCywkhHRwdPPfk4HR39\ntxcUCAT6oqvAXlNTsxnYUVZW9g7wPeD+srKy28vKylbX1NQ0As8Ab5SVlb0F7KypqXlH621YvHgZ\nV121jFGjShk7tpxP3/9ZrFbr+7/wEikoKCQvL59GlzKRMmWK/nYdDoeTUAhkYhPRXV2xZXoxa9Zs\nkpKS8NUoJ8Vgh4y/AcrLx5Obm/f+b3AR+Hwxz9r4Ew0ASabIOvoI7OGw3Gd/WGXZBazrLwGTycRt\nt90FQNPWPwHKZ920+Y8A3H7bXZr3S40nKSmJiZWT6PA0c7a1lrKycQnr+TVYsNlScfm7CfX6jvvb\nF+Lp6O6KvselYDQaGT+hkjavzDnX+f2CT7XJeLqVhJ6hYt0/b95CPv7x2wl5oHU9yCEluaD9dQi2\nKsd4LXumxqNaQUupVrBZwGbBdONCCIWxWW2af8ajRo1m/PiJyGdOE244c95yORgktGcnZnMyS5dq\nm1Bz1VXLkSSJ1j3/OE8A6Dy8hVCXmyuvXKxp33kgmgjS3KGY25QPn0b58FiP9+bOs2Rn55CUpE9P\n9P56sOsV74MiSRJ5ecNo9LoJy2EemjYXY2R/y0918OC0uZx1K1n6eXnaC+zqdVJXQN0eCIRkgiF0\nuYay2VIxmUx4IqftebNBPaU77DB3Nqg5cxkZ2lt5S5LEmjU3U109hVCn0m8d4KEHH6agoPDCL74E\nohOUni6MMyswzqwAn2JDpPfkZVZWNuXl45HPnSV0YA+Ew8yZM1/Xc0dSUhLz5l5JqNuL+4RSMd9x\naCMACxdepVvcnJxciopGcKJhP/6Acj7u8LTQ0FZHefkEXZJGANLT0xk2rICatlqCYcWlIRgOUtNW\nS0FB4aCZoLZYLCxfsQp/KMQLe5Sd/5prtE9ai8dkurCJ2vstv1Sqq6dEj/OZmVmUlmrX+qQ3FRUT\nmDhxEv566D7Vc1nXCQicg6lTp+u2DUajkalTZ0KXH3n/cXD7mDx5yoAnkgkEAoHgwxNfOONw6FNE\n0xfx1yx6tI4RCHozcaLimCifbgKnrWdCZloqktWCfKy+x7paEggEeO65Z+ns7MA47QqMk6fT1trC\n97//bYLBoObxerN37+7o43379ugeL55du97lnXfe0m1+uy/ii+ja2loTFncwEA6Hee65Z6mvP83s\nkUbmlcbm9oMhog66v/jFL3jggQcwm80EIzVds0cp6585e4bvfe9pTb8zWZbZu/c9du3aQTAY0Ox9\nBYKhiO492Gtqar7Sa2hv3LKfAj/VM74kSVFhMtFMnjyNV1/9C0kmE+PHa3/C743drlS4yXJfAru2\n/VLjsVptTJ48lS1bNhFojk0ezZ49X7eY3RHBsk+r9kgvlS71j9eB/iwtewtTWjJuXAWVlVXs3r0L\nX8NRZDmMr+EIVVVTKCsbp1tclbFjK9iyZVN0Wy43SkpGUlt7nBPtLZRmxKpp+9sX4jnUci76HpfK\n5MlT2bZtM3vPhMlz9MyR2ntGuZiqrh5a/XeWLVvJyZO1bNz4Ju7dYHJAV62yH37iE3foJghFEyK6\nI9+pGqc7gM2pvcgH8LGP3cC+fXsI7tyGefk1PZaFaw4ge9wsXrFa86SpnJxcJk+eyrvvbsPXcBRr\n/mhAOaa17d2AwWjkqquWaRoToLBQscJvbFdOHIurPx5d5vZ14O3uZGyhfsJHfwkDiUjEez9yc/M4\nduwILV4vRY500i1WwrLMM4tWA9DoceGwO3TZVlVw9AVi5zRVbNdDjDQYDGRn59DScgZZhrQ0uOE6\n8PtjQvupiFt8dnaO5vFBuV785CfvZ9OmtwiFQuTnD2Ps2HJdYqmYzWZSU+24vXHXKx7lcUaG/hZv\nkydPZf/+vYR2bAUSc+6YM2c+f/vbn+k8ug176TRcx7aTkpKie+zq6imcOlXHiYb9lBVN5uiZ9wCo\nqtK3B3VFxUT+eeb/ONZxirL0Eo61n8Qf8ker2wcLs2bN5Y9/+D3d/m7Gj5+oW4KsitmsHHvTU6At\nljNLajK4u/s/NmuFxZLCI498lZMnaxk7tlz3pMQbb7yVvXt349omk1wkI0kScljGtV05/t1wwy26\nxp80qZp//Ws94a2KxVhlpT6uHAKBQCDQl54V7PrN8fWmp8A+OBIEBUObqqopivPVwVoMS6cT/sc2\n6A5AWirGxVOR2zqRT5xl+PARjBxZqmlsWZb5+c//m5qagxhKSjFOrAJZRm5qZP/+vfz61z/nrrvu\n1TRmPIFAgJ0738VkS8eQlMyePbvwer0JmaNoamrk299+ElASesaPn6h7TCDa+gKgtbUlITEHC8eP\nH+XQoQOMyzWwaoLxvPuS3q6pL774IqAUdkmSxIoKIy0emX1Hajh8+JBmcxhvv/0GP/nJ84DitHXN\nNddr8r4CwVBEb4v4y5qbbrqV733vR6x7/ucJ6YWhiujxGm93pK2nKr7rhWoz2FWr/G8wGJg8eYpu\n8VQRsy97bsmk7NaBgL4ZVn1ZWuo9QbdihSKstO9/g/b9b0TGVukaU2XSpGqGDSsgNzePKVOmJyTm\nYKKqStmfN52uPW9Z3/amMTZHXqO+x6Vtx2RMJhN7zvTMTJRlmT1nwlgsFiZMqLzkOIMJJVFqLal2\nO65t0LZBqcj65Cc/jcGgn3ND9LjZFfteZVmGLr9ux9QxY8ZSUTEBuf4U4caGWNxwiNCenSSZzSxf\nrs9vXm0z0b7v39Ex75lD+NvOMH3aTNLTtU8qKCgowmAw0NBWd96yhrZaAEaMKNE8rkp/yWd6t3T5\nIOTkKPb5jXE9vw2Rc0xYDtPs85AdWUdrelewQ0xsV50dtGbYsEL8fogzqCG+wFJ1PCsoKNIlPoDd\nbmfJkhUsX75Kk+P1ByEzMwvcvmiCnuz2Rcb1v26Mv/l2OtN0aTfQm2HDCigoKMJ7+gBdjccJuFqo\nqpqsezVtZaViA3/s7J7Iv3t7jOvFuHHKZ1zTqlgdHmpT/i0vH1yJik6nk+9893m+9a1v8/nP/z/d\n46WkpACweKwJQ+TSOTtVoqrAEFmu/wTiuHEVLFmyQtdzjMqIEcVMnz5LSUQ+qYx1nYBgm5J0ovdv\nb8yYscqDSAPHRCTmCgQCgUB74u9B9XSp7E185bxe7ScFgnjMZjPXrL4OAkHkmpOY7liO8Y7liqNg\nup3wxr0gy1x//c2az8O+/fYbbNz4JlJ2LthsBDe/hWQwYLpyCVJmFq+//k82b96oacx4du7cjtfr\nwV46DcfoGQQCAbZu3aRbvHgOHToQfXzw4P6ExASl53xfjy8H1PuiJvf5TqUmY9+uqaa4adBGtxx1\nT9bqHqqjo4OXXvqf6PO//e3PNDSc1eS9BYKhiBDYdUTtG6vXZHRv4ivYVboiArueFewAEyZUIkmS\nYnXYBKWlY3S1EFd7nfdpzx25uNKrH/qF0FtgHzeugqysbFzH3sV9fCc5ObkJmyTLysrm6aef49vf\nXqdbj6PBzMSJk3A4nGw6fQL/h9i3Wrwe9jSeYeTIUZpYDVutNiorq2nolGnojInsdW0ybV6ZKVOm\nDUnbT6vVptxgRVi4cElUgNSL6DHV1x0b7A6ALOt6TL366msBCO3ZFR0LHz+K7HaxYP5C3frtjR1b\nTkFBEe4TOwn6FFG34+DbgNKvWQ/MZjOFhUWca6sjFO5ptXamRRGiiosv3fmhP5KSlN+KIdLvN9mY\n1GN8IFErtZv66PPW6vMRCod1+w2o1y3euAp2X0Rs10v4Ki5WRK7Wtr6Xt7YqN59ZWdl9r/ARJSsr\nS/F+UxN53N7IuP5/Z0FBEUXDRyBJEjNnzk5Ya5HKyknIoQAtO14FYOJEfUVugJEjS7EkW6g9dxBZ\nDlN77iBZWdm6V2qXlSkC++G2EwAciSQOjRkz+AROpzONoqIR0epyPbHb7QBYksBpgTQLPLLIjCGi\ntqvLhxKrVinndk/Ey82zV7lvWLnymgu8ShtsNlv0fGG3OxLikCEQCAQC7YkX2FNTE1fBHn/vm0hh\nX3B5s3DhEoqLS5APnyJc14CUrNyrywdqkc80U109RXM3Kp/Px//3uxeQkpIwTplBeP8ewvv34H/p\nN8iuTpIWLQeTid/+z6/p7u5+/ze8CN5++w0AnGWzcIyZCUhs3PimLrF68+672+Ieb9XVpTWe+vrT\nfT6+HCgoKGL16uto9sh89/UA/7s7QIdP+dwdFgmnOcC6detYu3Yt69atw2kO4LBIdHbJvLwnyHf+\nHaDRLbNy5TWMGFF8ydvj8bh59tn/or29napKuGImdHd38/TT/0lLy+XlLiAQfFCEwD6EiF7oxgvs\nXcrkTWqqvhNVVquN4cOLCbYq8fW2VVVR7bnVE03PCmJ9LgQuJF4aDPr+pCRJoqpqMnI4iBwOUlU1\nZcj02h7smEwm5s5dgNvfzfYz51fb9sebJ48iyzILFizWbFtmzrwCgF2nYwL77sjjmTNnaxZnsLF0\n6Up+9rPf8tOf/obbblure7yo7V68wB55rOfEQkXFBIqKRhCuPYYc6UUVOrAXSZKiVeZ6IEkS8+df\niRwO4Tq2nZDfh/vELvLzhzF6dJlucUeNGk0g5I/axKvUNx+LLNfW8i0es1m5SbclWclITmOkU0ke\nGuge7BAT2Bu95wvsTZExvURY1Qa+ZwW78q9eSYMjR44CoLmPe7ZuP3S6FJFU7/NsosnKiljeuxRh\nXXZ5e47riNFo5Fv/9W1+85s/cOutd+geT0UVnT0n90Se6y82m0wmSkePobnzDCcbD9Pl9yTkWtXp\ndJKTk8uxjpOE5TBHO06Sk5OrW6LURwW1+s3dDRMLjFQWKmUYru7IZNIQnLwfPryYMWPK6D4N3fUy\n/gblfJ8I5wiAadNmYDIlMX36zITEEwgEAoH2xBexpKbqV9DSm3hhfygmwQkGJ0ajkXvvfQCj0Yj8\n9m5kfwDZ7SO89QBWm40777xX8/nQv//9r7hdLgwTqwltejNawSZ3tBPc8HckhxPj+El0tLexfv2r\nmsYG8Hg87Nm7m+Ss4SRnFJBkzyRl2Bhqag7qbp3e0dHOe+/tICetiHHDp1Fff5pjx47oGlOlrq4W\nAAmJurrahAn7g4U1a27mC1/4Etk5eWw+EebJDX7+tjeI1y9z2zQTTnOA+vp6nOYAa6qMvLIvyJP/\n9PPO8RBZWTl87nOPcNNNt17ydrS1tfHNbz7GiRPHGDUSysdBSTFMqIDGxnN84xuPcvbsmUuOIxAM\nNYbWLOVljjpZ5XDA8IiDaleXcuFtNOpno6wSX2WoZ8Uh9BSyz7PnjpyI9ZqE73NSNNIr0mQy6RIz\nnpkzZ+NwOnE605gxY5bu8QQx5s9fCMDbJ5XK2qR+flfquCzLbDx1nOTk5KgorgVVVVMwm83sqQ8j\nyzLhiD28zZZKRUVieiQNFBaLJWqhpDdOZ6S/nK8baWQB0sgC5EivZD2t8SRJ4sorF4MsEzpag9zR\njnzuLBUVE3SvtpwxQ9lP3cd34jm5FzkUYMaMK3RN5CktVfq9n24+Gh2TZZnTLUfJysrWtc+fKqTL\nyBgkCX8ogMlkGhQirlpt2NSHwN7ocfVYR2tiPdhjY12RanY9erADlJaWIUkSjU3nL2tqUtcZo0vs\ngURNpJA7FWGdyL85OfoL7ANF/DViaqo9Ya4E6v7z7pENgJLckwhGjizFE/BxoOUo3oAvYXEHM2rL\nkQ6fzMrxJlaOV66fOyPVGkO1v6uaBNn+Zs/nieCmmz7Br371O+6445MJiykQCAQCbYlPdE2ka118\n7+dEtHERCFSKikawatXHkD1dhN87QnjrAQgEueXjt5Oeru31Yl1dLX/925+RrDYMo8Ygd7T3WC53\ntCN7PRgnViNZUvjzy3+kvv5UP+92cezbt5twKERqSRWNm/9A4+Y/YC9R3L527971Pq++NN5441+E\nQiEml15JdekCADZsWK9rTJXjx47gMKcyJXc8nZ0dNDf3MSkwxKmqmsJTT32Pu+76FM60LN46FuKp\nDQHOuWQeWWTmiRVmlpUb+fXWEG8eDWF3ZnDnnffw9DPPMXnytEuO39zcxDeeeJSTJ+sYUwozpikG\nwX4/TJwAlROgubmZJ554lJMnay/9DxYIhhADP4Ms0AxV8MnIgMkRt01fV+ImqQoLC+Me69cjFd7H\nvjfSX1Avi1+TSa1sVAQnyZmGVJC4qscxY8byw+d/zvPP/0zXqlLB+eTl5TNq1Gj2Nzfg6u4izZJC\nXi9rtvxUB2kWRQA+0d5Ko8fN5MnTsFi0E4WTk5OZNGkyzR6Zs50yJ1tlOrtkpkyZnpAkj8uFtDTl\nmCp7ujDOrMA4swK83ZFl+h5XZ8yYhcFgIHziGKETSiX3rFlzdI0JiuhRUjIKX8MRXMd3AFBdPVXX\nmKWlynHsdFMsO7rV1YCv2627oNr7PBEIB+KO8QNLRkYmSaYkGtyKmD6tYATTCkYAcC4isOuVcGGx\nWDAaDXj9scxxb7SCXZ9qGZvNRlHRcFpaoHcXjsZG5d9EueMkktzcSJKES3GrkDs9WK02XdvsDDSZ\nmZnceusdLFiwiLVrta886Q+11/b+ui1ArC2B/nGLAdh4ZkeP7bicyczMAqDN27M6pdUr43Q6h2Sr\nG4i1Qwh19nwuEAgEAsEHwWKxRB8n0skwPsFWzDcIEs3KldfgcDqRdx1BPnqa4cNHMGfOfE1jdHX5\neO77zxIKBjHOWYAUSbg3m80UFBTErk1DIaTkZIyz5xPw+3nuuWc1tYpXe6DbCspxHXuXzqPbsBaU\n91imB+FwmNdf34DZlMzEkVcwMq+CDHseW7ZswtNHyzotaWlpoaW1hVFpwylNU+Y7jhw5rGvMwYrJ\nZGLBgkU8++wPuPnmTxAkid9uD/Kn9wK8diDIC9uCBGQTN9xwC88+u46FC6/SZP7K5XLxrW89TmNT\nI+MrYOoU6OiAl/6k/P/XV6GoEKZNiVu38ZwGf7FAMDQQAvsQQs3e8/mU54GA8r9aJaI3s2fPY8WK\n1dx88yd0tzuMVrBae/WJTEs9fx2NSY5Uq2NOAlsq5hs+gRS5yRgMfXsF+jJlyjRkWWZ3o2KL89C0\nuRgjN7f5qQ4enDY3uu6uhtOR10zXZTsADp0Lc/CcYg8/ebK+QujlRvTYGalaj3+s93HVbndQWjoG\nuekc4ROK8DxpUrWuMVUqKsYjh0O4j+/AarNp0sfpQuTnD8Nms3GqOSawn4qI7WPG6JtEpN6MyJGW\nIoFwaFDYw4PiwpKbm0eDuxNZlvn4+Ml8fLzSY+6sW1Fn9DrXSpKE1ZqKL6DYN08sMEbFdrtdP+F3\n3LjxhELQ1NxzvKFRsQgcikllqguB3OlVrPBcvpjoPoRZunQld931KaZNm5GwmL2TPwsK9E0GjcVV\nkjC3nd3d53ZcjmRmZmE0GGiJE9hDYZl2n37OHIOBnJzcaP/z/PxhmldeCQQCgWBoM1DV4w6Hk6Sk\nJAoKCt9/ZYFAY5KTk1kwf1H0+eLFSzV3nHvttVdpPNeAcWI1xuFKMqzZbOaBBx7gF7/4BQ888ECP\nBFBjSSnGiomcOVPPhg2vabYdhw/XIBlNYDQS9LQR8rRRv/55DEkWDh8+pFmc8+Meorm5ifLh03lr\n78ts2PV7Jo2aSzAYYPv2rbrFBThyRPm7xqQVxwns+v2tHwWSkpJYsWI13/jG06SnpbOlNsymE2Gc\nTiePP/EUq1Zdq2lC8s9+9kPOnWugYhxMmqhUrr+5UaleB3C54K2NMGa0Ir67XC7WrfsO4XDowm8s\nEFwmCIF9COFwODEajXgiLqPeyL/qRI7e2O0Obr75E6xYsVr3bFq175M0ukg58gOkpWJcPBW6/NHt\n0YOowC7LsdhBpbQvPqNYMDSZOHESAPsazwJQ5Egn3WIlw2LlmUWrKXLEJkv3NZ3FYDAwfvwEzbdj\nwoRKAI40hjnSGMZoMFBeXqF5nMsZu92h9PvyxAR22a1kMCViUnzcuAqQZeTmJgoLixLWkzbevnhU\nAnpeGwwGSkvLaHc34fZ1AHA6IrbrX8EeqcCIaDzBcHBQVWXkDyvAFwzQ1uXrMV7v6iAlJUVXJwW7\n3Y7HT9S+2Ru5udKzslo9hp1rjI35/dDWpuyXQ/Ecq1rE0+lREnhCIbKzh67AOJBkZ+dEr0/tdkcP\nu1M9URNhgrIyATFsWEFC4g5mjEYjWdk5NLtjAnubVzGhysnRtxXKQCJJEo899k0eeeSrfOUrXx/o\nzREIBALBR4ycnFzWrLmZhx76YkLjWiwWnn/+Z3zjG08lNK5AoDJr1mySLRYcTqcmdti9qa1V2kAa\nx0bm1IxGsrOzWbJkCQBLliwhOzsb4tpEGsaOj7z2hCbb4PF4OHmyFktOCWc3/BRkpZAm0HEOWZZp\namqkpUWfPuzvvbcTgHHDp3Hg5DYOnNxG+fBpkWU7dImpoiYOjE4vpsRZSJLBpGsywUeJgoJCvv74\nt7j11ju59dY7efzxJykqGq5pjEOHDrBjx3ZycmCSMs2Mz6eI6vEODp0uZbxsNBSPgOPHj7FlyyZN\nt0Ug+KgiBPYhhMFgIDMzC4/iMhoV2lUbxqFEVFSQAJsFbBZMNy5EynBEK0z16pEctfqOd7UMBHou\nEwxZiopGYLfbOdDcoFQbRjD0SirxBQIcb2umpHikLj2L7XYHBQVFHG2WOdUuM3JUqdj/NMZgMCiV\n6u44cdOjPE7EcbWkZFTc41Ld46nE90eO3wY9Ufuw17ccjfx7jKSkJIYPNpgHeQAAIABJREFUL9Y1\nbu8K9mA4OKicSNRK11OdbdGxQChEg7uTwsIiXZPZUlPt+Pwy4chxztOtVrDrk7wGMHZsBZIkcS7O\nbexco5LPVlGhfaLSYMBsTiYtLR3Z5Y3rvy4Edj0wmUxR95FE9X1XY6m/VUmSEpb4OtjJyxuGx0/U\nHaPJrUwi6u2CNdBkZmYxceKkhDmMCQQCgWDoIEkSq1dfx9Sp2jvkvR9Wqw2zOfn9VxQIdKCgoIif\n/uQFnl/3M10KDyZMUAppAhv+TrijHclqo9nXxfr1Sg/y9evX0+zrQorM7YXbWwn+67Uer71U9u59\nD1mWseSMJNDR035bDio29Lt379QkVm8OHNiHQTIyInesEk8Ok2HPI82WzcGD+wmHw7rEBTh27AhG\nyUixoxCTwUSxo5BTp05qar3/USYzM4ulS1ewdOkKXe5h33nnLUDpsa5OL4VCfTs4qK38Kicq/27c\n+Kbm2yMQfBQRAvsQIysrm64uCAbBHWmTEq2OGkJEJydV4StOZJDdPmy21FilucZEK55sNowjFdFL\n9vsxGAy6xRQMHgwGA+PGjafV543aNMf3RlY51HKOkCxTMX6ibtsyalRMdE2kAHs5kZmZBd4u5JBy\nQyG7fZhMJl1FRpVx48oZPXoMw4YVMGvWbN3jqWRn5/DVrz7BZz7zea6++tqExFSr5s+0HCcQ7Kap\n/TTFxSN1ryZX7eDVVJlAOBirah8EqAkGdR0xgf20q52wLOuefOBwOJABX6Ry3ePXX2C32WwUF5fQ\n3KJcx0Csmn3cuKHr0JGTkwtuH3KHcuE2FK/bBgvLl69izJixLFmyImExTSZTNDE0PT1jULlkDCRq\nJX9jpIq90SX3GBcIBAKBQCAQCFQMBoNuCeYLFixi8eKlyK0tBP73dwR37yQ0bzHP/+rXrF27lud/\n9WvCC5Ygh0MEd20n8L+/R25vZdmyq5kzZ54m27Bt2xYArMPG9rvO9u1bNIkVj9frobb2OMMyR9Lu\nbsLlbaPT28rzf32YnPQiPB4PdXW1mscFCIVCnKyro9Cex5+OrOeFAy9T4iwkHA5z6lSdLjEFPTl5\nsg6DAbJ71RD16eAQwZ4KNhviOxIIIogZniFGTk4uBw7sw+2JCexDsRIqI0OZoAx2eJBGxibi5LAM\nnV5yRpToFlutRpZsqZimR0Sv7i6sVpvu1viCwcGkSdVs27aZnQ2nGWZ3Rvsix7Pz7CkAKiurdNuO\neGsgrW2CBArRSnVvF9it4PaRkZGpu206KFbcjz32X7rH6YuxY8sTGq+kRKmaP9tay7n2U4TlcHRM\nT3oLXUE5NKjEL/UzqG1vjY6pj4uL9TvPAdHKAHe3jC1Zwt2tZDHrbdNeVlbOiRPHaWmF3BxobFLs\npFWXg6FIVlY2hw8fQm5QvtucHCGw64Wa/Z9o0tLSaWtr1bWtw0eNqMDukinOiAntw4aJ/q4CgUAg\nEAgEgsRhMBi4/fa7KSsr59e//hmube8gZedgWLScppQUJHMytLcRePkPyC1NOBxO7rzzHs3cJAKB\nALt37yTJkYM5XWmXZDabyc7OpqmpCb/fjzmjgP0H9uH1ejR1yXzvvV2Ew2FGDZvIH956jnCkrVWL\nq4HuoOIQu2vXu7rMzzQ1NRIIBkhPdvKPurcJyWEcZqUl3enTp3RvGShQik5kWalaj5/mbGpqYv36\n9SxZsoT169fT1NQUXSbLSkGE1Zo0AFssEAw+RAX7EEMV091ucEes4odiL0+DwUhubh50uDHMKMc4\nM1LZ5vJCOKyrvWRSUpJSqe6P2dXI3V2kpurXl1YwuKiqmozRYGTz6do+lwfDIbafPYXT4WT0aP0u\nCCsqJmC323E6nEO6unMgiQrsLi9yMAS+7oRaC18u2O0O0tMzONd+knNtShbsCB0TpVSiFexyzCJ+\nMAnsmZlZ2O12TrQ3R8eOtyt914qL9bXvVwV2V+RU5/bLutjx9WbMGCVjv6lJuWlra1NaFQxlS0q1\nYl0+q3y3mZniGDPUmDp1Ona7nSlTEm/pOlgpKFCEdLVyvdElYzAYlOt7gUAgEAgEAoEgwcyYMYun\nn36OK66Yi9zUSOAvLyF3dBA+10DwL4q4PnfuAp555jlNWzXU1Z2gu7sbW1EFElKf9twpeaMJh0Ic\nO3ZUs7gQswgvzhlHi6uhxzK3rx2TIYl33nmrR4tMrWhsVKzwj7bXEor0nO/0u3ssE+hLRcUEZBkO\nxrW9NxrB7/ezbt061q5dy7p16/D7/RiNyvJjx6G7G8br6NgqEHyUEAL7ECNeYHe5lIy3tDR9epEP\nNMOGFYI/CJ6u6Jjcplh2q5N2epGaakfuUuLKsgzd3aSm2nWNKRg82O0OJlZWUdfRSl1cZanKzrOn\ncfu7mTlrDgaDUbftGD68mB/96Jc8/8Ofk5eXr1ucy5msLEVgl92+hPZfvxwpKhqOy9vGqaYjABQW\n6u/KcF4FezgU7cs+GJAkiZKSUTR5PXR2K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- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Cross-validated performance distribution\n",
- "facet_grid = sns.factorplot(x='l1_ratio', y='score', col='alpha',\n",
- " data=cv_score_df, kind='violin', size=4, aspect=1)\n",
- "facet_grid.set_ylabels('AUROC');"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 22,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "image/png": 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ALK2UXKrUKM/axb8D8MfupL1JycXAh7mEYG5hRv1mNdm39XCa5fKh2h2d2Tp9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\nEJWklL1f3d0XE7DtKAHbjgKQ49McFKpUiDpda+O/YjcXj12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7TOj+1uunptRMh73muX8E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\nQohIYAra8ljuQC8p5VlTLXc6W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- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Cross-validated performance heatmap\n",
- "cv_score_mat = pd.pivot_table(cv_score_df, values='score', index='l1_ratio', columns='alpha')\n",
- "ax = sns.heatmap(cv_score_mat, annot=True, fmt='.1%')\n",
- "ax.set_xlabel('Regularization strength multiplier (alpha)')\n",
- "ax.set_ylabel('Elastic net mixing parameter (l1_ratio)');"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Use Optimal Hyperparameters to Output ROC Curve"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 23,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "y_pred_train = pipeline.decision_function(X_train)\n",
- "y_pred_test = pipeline.decision_function(X_test)\n",
- "\n",
- "def get_threshold_metrics(y_true, y_pred):\n",
- " roc_columns = ['fpr', 'tpr', 'threshold']\n",
- " roc_items = zip(roc_columns, roc_curve(y_true, y_pred))\n",
- " roc_df = pd.DataFrame.from_items(roc_items)\n",
- " auroc = roc_auc_score(y_true, y_pred)\n",
- " return {'auroc': auroc, 'roc_df': roc_df}\n",
- "\n",
- "metrics_train = get_threshold_metrics(y_train, y_pred_train)\n",
- "metrics_test = get_threshold_metrics(y_test, y_pred_test)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 24,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "image/png": 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PnAxGo9CJiCQvjVDXyn389S88+/6P4eenTNy5SeVoMhgRkbYj1rfCyXbYXFZV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\nU/nmm7k8/PDj+Hw+jj32SCZPPgEgPA7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- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Plot ROC\n",
- "plt.figure()\n",
- "for label, metrics in ('Training', metrics_train), ('Testing', metrics_test):\n",
- " roc_df = metrics['roc_df']\n",
- " plt.plot(roc_df.fpr, roc_df.tpr,\n",
- " label='{} (AUROC = {:.1%})'.format(label, metrics['auroc']))\n",
- "plt.xlim([0.0, 1.0])\n",
- "plt.ylim([0.0, 1.05])\n",
- "plt.xlabel('False Positive Rate')\n",
- "plt.ylabel('True Positive Rate')\n",
- "plt.title('Predicting TP53 mutation from gene expression (ROC curves)')\n",
- "plt.legend(loc='lower right');"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## What are the classifier coefficients?"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 25,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "coef_df = pd.DataFrame(best_clf.coef_.transpose(), index=X.columns[feature_mask], columns=['weight'])\n",
- "coef_df['abs'] = coef_df['weight'].abs()\n",
- "coef_df = coef_df.sort_values('abs', ascending=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 26,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'0.0% zero coefficients; 246 negative and 254 positive coefficients'"
- ]
- },
- "execution_count": 26,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "'{:.1%} zero coefficients; {:,} negative and {:,} positive coefficients'.format(\n",
- " (coef_df.weight == 0).mean(),\n",
- " (coef_df.weight < 0).sum(),\n",
- " (coef_df.weight > 0).sum()\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 27,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
- " weight | \n",
- " abs | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " GPR158 | \n",
- " 0.154793 | \n",
- " 0.154793 | \n",
- "
\n",
- " \n",
- " AFF3 | \n",
- " -0.116980 | \n",
- " 0.116980 | \n",
- "
\n",
- " \n",
- " IGF2BP3 | \n",
- " 0.116407 | \n",
- " 0.116407 | \n",
- "
\n",
- " \n",
- " CLIC6 | \n",
- " -0.112586 | \n",
- " 0.112586 | \n",
- "
\n",
- " \n",
- " HES2 | \n",
- " -0.107409 | \n",
- " 0.107409 | \n",
- "
\n",
- " \n",
- " MMP7 | \n",
- " 0.106901 | \n",
- " 0.106901 | \n",
- "
\n",
- " \n",
- " LY6K | \n",
- " 0.105119 | \n",
- " 0.105119 | \n",
- "
\n",
- " \n",
- " COL11A1 | \n",
- " 0.103425 | \n",
- " 0.103425 | \n",
- "
\n",
- " \n",
- " SLC44A5 | \n",
- " 0.102179 | \n",
- " 0.102179 | \n",
- "
\n",
- " \n",
- " VTCN1 | \n",
- " 0.102030 | \n",
- " 0.102030 | \n",
- "
\n",
- " \n",
- "
\n",
- "
"
- ],
- "text/plain": [
- " weight abs\n",
- "GPR158 0.154793 0.154793\n",
- "AFF3 -0.116980 0.116980\n",
- "IGF2BP3 0.116407 0.116407\n",
- "CLIC6 -0.112586 0.112586\n",
- "HES2 -0.107409 0.107409\n",
- "MMP7 0.106901 0.106901\n",
- "LY6K 0.105119 0.105119\n",
- "COL11A1 0.103425 0.103425\n",
- "SLC44A5 0.102179 0.102179\n",
- "VTCN1 0.102030 0.102030"
- ]
- },
- "execution_count": 27,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "coef_df.head(10)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The results are not surprising. TP53 is a transcription modulator and when it mutated in a tumor, the cell goes haywire. This makes finding a transcriptional signature fairly easy. Also, the genes that the classifier uses is interesting, but not necessarily novel.\n",
- "\n",
- "1. TP53 is a [transcription factor](https://en.wikipedia.org/wiki/Transcription_factor \"TF wiki\") that regulates many genes including EDA2R. Studies have linked EDA2R (or XEDAR) to [increased survival in colon cancer patients](http://www.ncbi.nlm.nih.gov/pubmed/19543321) and [losing hair as a result of chemotherapy](http://onlinelibrary.wiley.com/doi/10.1016/j.febslet.2010.04.058/full)\n",
- "2. SPATA18 is a gene associated with spermatogenesis and is a transcription factor for TP53. It's association with TP53 was [recently discovered](http://www.ncbi.nlm.nih.gov/pubmed/21300779) in 2011.\n",
- "3. C6orf138 (or [PTCHD4](http://www.genecards.org/cgi-bin/carddisp.pl?gene=PTCHD4)) is also a transcriptional target for TP53 and was only recently discovered in [2014 to repress hedgehog signalling](http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239647/).\n",
- "4. The list goes on and includes several other TP53 targets..."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Investigate the predictions"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 28,
- "metadata": {
- "collapsed": false,
- "scrolled": false
- },
- "outputs": [],
- "source": [
- "predict_df = pd.DataFrame.from_items([\n",
- " ('sample_id', X.index),\n",
- " ('testing', X.index.isin(X_test.index).astype(int)),\n",
- " ('status', y),\n",
- " ('decision_function', pipeline.decision_function(X)),\n",
- " ('probability', pipeline.predict_proba(X)[:, 1]),\n",
- "])\n",
- "predict_df['probability_str'] = predict_df['probability'].apply('{:.1%}'.format)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 29,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
- " sample_id | \n",
- " testing | \n",
- " status | \n",
- " decision_function | \n",
- " probability | \n",
- " probability_str | \n",
- "
\n",
- " \n",
- " sample_id | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " TCGA-E2-A574-01 | \n",
- " TCGA-E2-A574-01 | \n",
- " 0 | \n",
- " 0 | \n",
- " 3.333710 | \n",
- " 0.965567 | \n",
- " 96.6% | \n",
- "
\n",
- " \n",
- " TCGA-CQ-A4CI-01 | \n",
- " TCGA-CQ-A4CI-01 | \n",
- " 0 | \n",
- " 0 | \n",
- " 3.229784 | \n",
- " 0.961940 | \n",
- " 96.2% | \n",
- "
\n",
- " \n",
- " TCGA-46-3765-01 | \n",
- " TCGA-46-3765-01 | \n",
- " 0 | \n",
- " 0 | \n",
- " 3.182513 | \n",
- " 0.960171 | \n",
- " 96.0% | \n",
- "
\n",
- " \n",
- " TCGA-B6-A0I1-01 | \n",
- " TCGA-B6-A0I1-01 | \n",
- " 0 | \n",
- " 0 | \n",
- " 2.980778 | \n",
- " 0.951698 | \n",
- " 95.2% | \n",
- "
\n",
- " \n",
- " TCGA-49-6743-01 | \n",
- " TCGA-49-6743-01 | \n",
- " 1 | \n",
- " 0 | \n",
- " 2.965390 | \n",
- " 0.950986 | \n",
- " 95.1% | \n",
- "
\n",
- " \n",
- " TCGA-CV-7261-01 | \n",
- " TCGA-CV-7261-01 | \n",
- " 0 | \n",
- " 0 | \n",
- " 2.946212 | \n",
- " 0.950084 | \n",
- " 95.0% | \n",
- "
\n",
- " \n",
- " TCGA-CV-5441-01 | \n",
- " TCGA-CV-5441-01 | \n",
- " 1 | \n",
- " 0 | \n",
- " 2.925501 | \n",
- " 0.949093 | \n",
- " 94.9% | \n",
- "
\n",
- " \n",
- " TCGA-13-0897-01 | \n",
- " TCGA-13-0897-01 | \n",
- " 1 | \n",
- " 0 | \n",
- " 2.863213 | \n",
- " 0.945998 | \n",
- " 94.6% | \n",
- "
\n",
- " \n",
- " TCGA-GV-A40E-01 | \n",
- " TCGA-GV-A40E-01 | \n",
- " 1 | \n",
- " 0 | \n",
- " 2.829705 | \n",
- " 0.944260 | \n",
- " 94.4% | \n",
- "
\n",
- " \n",
- " TCGA-B6-A0I6-01 | \n",
- " TCGA-B6-A0I6-01 | \n",
- " 0 | \n",
- " 0 | \n",
- " 2.733874 | \n",
- " 0.938996 | \n",
- " 93.9% | \n",
- "
\n",
- " \n",
- "
\n",
- "
"
- ],
- "text/plain": [
- " sample_id testing status decision_function \\\n",
- "sample_id \n",
- "TCGA-E2-A574-01 TCGA-E2-A574-01 0 0 3.333710 \n",
- "TCGA-CQ-A4CI-01 TCGA-CQ-A4CI-01 0 0 3.229784 \n",
- "TCGA-46-3765-01 TCGA-46-3765-01 0 0 3.182513 \n",
- "TCGA-B6-A0I1-01 TCGA-B6-A0I1-01 0 0 2.980778 \n",
- "TCGA-49-6743-01 TCGA-49-6743-01 1 0 2.965390 \n",
- "TCGA-CV-7261-01 TCGA-CV-7261-01 0 0 2.946212 \n",
- "TCGA-CV-5441-01 TCGA-CV-5441-01 1 0 2.925501 \n",
- "TCGA-13-0897-01 TCGA-13-0897-01 1 0 2.863213 \n",
- "TCGA-GV-A40E-01 TCGA-GV-A40E-01 1 0 2.829705 \n",
- "TCGA-B6-A0I6-01 TCGA-B6-A0I6-01 0 0 2.733874 \n",
- "\n",
- " probability probability_str \n",
- "sample_id \n",
- "TCGA-E2-A574-01 0.965567 96.6% \n",
- "TCGA-CQ-A4CI-01 0.961940 96.2% \n",
- "TCGA-46-3765-01 0.960171 96.0% \n",
- "TCGA-B6-A0I1-01 0.951698 95.2% \n",
- "TCGA-49-6743-01 0.950986 95.1% \n",
- "TCGA-CV-7261-01 0.950084 95.0% \n",
- "TCGA-CV-5441-01 0.949093 94.9% \n",
- "TCGA-13-0897-01 0.945998 94.6% \n",
- "TCGA-GV-A40E-01 0.944260 94.4% \n",
- "TCGA-B6-A0I6-01 0.938996 93.9% "
- ]
- },
- "execution_count": 29,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Top predictions amongst negatives (potential hidden responders)\n",
- "predict_df.sort_values('decision_function', ascending=False).query(\"status == 0\").head(10)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 30,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
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h6dBxi28cntzhEE0X1lDL0Pdk5Q3PU8vwt5gqSdQi6jz1+mlauwa4cXUhM3PC\nZ630RCybm0VinI2dZQ24Pf6d9DVa04UetSTqycpPGqr8Pi+V32KKJFGLqHLsbCtvHK4jPyuRm68q\nMjqcoLFZzaxdNHQU5gFt4ku1mvtasFvspNgj84fMdHh7K1HpUYupkUQtokbfgIdfvXgSi9nEp98z\nLyjnN4eS9UuGhl63HZrY8LdP99Hc20J2XGZEzd1Pt7SYVOKtcbJES0xZZH9TCTHKC7uqaOsa4IZV\nhWG/XtofjrR45helcep8J7UtrvEvGNY50MWgzy3D3lNkMpnIS8yhua+VAe+g0eGIMCaJWkSF+lYX\nW/fVkJkSy02rC40OZ9psWDJUVLb9iP/DryOHcTikkGzKchOd6Og0uGQrUTF5kqhFxNN1ncdfPoXX\np/PhzXOw2yxGhzRtFs/OJCHWylsnGv3e/1sKyQInN8EJQF1Pg8GRiHAmiVpEvIOnWiivaqd0ZjpL\n50RX8rFZzawsyaazZ5AT1e1+XXNhaZYk6inLTRxO1C5J1GLyJFGLiOb2+Hjy1QosZhN3XDMnKouj\nVi0YShZ7jvmXLC70qGXoe8pypEctAkAStYho2w7X0trVz+bl+eRkJBgdjiFm56eQkRzLgVPNDLjH\nX1Pd3NtCnDWWRFt0tlcgxVljSYtJpV561GIKJFGLiNU34OHPu6qItVt4TxQVkF3MbDKxaoGD/kEv\nR063jPlYn+6jpa+V7LisqBx9CIbcRCedg930uP2vvBdiNEnUImI9v72Srl43W1bOICnebnQ4hhoZ\n/t49zvB3W38HHt0r89MBNFJQVi/D32KSJFGLiOTqd/P0ttMkxFq57orIORlrsvIyEyhwJHLsbBvd\nvZdf09ssFd8B93ZBmSzREpMjiVpEpL++VY2rz817VhcRF2M1OpyQsHqBE69PZ//Jpss+Rg7jCLy3\nl2jJDmViciRRi4jT0+fmlf3nSU+OYdOyPKPDCRkrS7IB2DdWou4d2hdchr4DxxGfhdlklh61mDRJ\n1CLivH6olgG3l/etnx1Vm5uMJz05luK8ZLSaDrpclx7+ljXUgWez2MiKy6Te1YCu+7fpjBCjSaIW\nEWXQ7eWV/TXExVi5blX0VnpfzkqVja7DwVOXPlGrqbeFJFsicda4aY4ssuUmOunz9NMx0Gl0KCIM\nSaIWEWVnWT3dvW42LcsjPtZmdDghZ7m6/PC3x+ehrb9dCsmCIDfBASAnaYlJkUQtIobPp/PXvdVY\nLWauWZ6vmtHuAAAgAElEQVRvdDghKSMlllm5yWjVHXRdVP3d2teGT/dJIVkQ5A6fTV0v89RiEiRR\ni4ixX2uiuaOfqxY6SUmMMTqckLVCZePTdQ5dNPwt89PB83aPWtZSi4mTRC0ixkt7azAB18u66TGt\nUFkA71qmJWuogyczLgOr2Upjr/SoxcRJohYRobqxm7P1XSwszsCRHm90OCEtMzWOmTlJnDjXQU+f\n+8LtjSPnUMdnGRVaxDKbzDjis2hwNeHTfUaHI8KMJGoREd44UgfA+iW5BkcSHlaUDA9/V7w9/H2h\nRx2XYVRYES0nwcGgz017f4fRoYgwI4lahL0Bt5c95Q2kJtpZVCxJxh/L5gz1mg9XvH1IR1NvC6kx\nKdgt0b0verA444cq7qWgTEyUJGoR9vadaKJvwMvaRblYzPKR9ocjPZ6cjHjKz7bRP+hh0OumfaBD\nKr6DyDlcUNbQe/md4YS4FPlWE2HvzSN1mIB1i3KMDiWsLJubxaDHx+FTzbT0tQJSSBZMOQlDPeoG\nlyRqMTGSqEVYq23u4XRtJwtmppOZKrtpTcSSOUNJ+a1jDbLH9zTIisvEbDLTIEPfYoIkUYuwNlJE\ntm6xFJFN1MycZFIS7ew93kBjr5yaFWwWs4Xs+CzqXU2y57eYEL/O/1NKPQysAnzAFzVN2z/qvo3A\ntwAPoGmadvd41wgRCG6Pl93HGkhOsF/oHQr/mU0mls7OZNvhOk63DG1tKT3q4MqJz6bB1UjnYBep\nMSlGhyPCxLg9aqXUOmC2pmlrgLuBH170kEeAD2iadjWQrJS63o9rhJiy/Vozrn4PVy10YrXI4NBk\nLBmu/j7f1YgJExmyNCuonAlS+S0mzp9vt83AMwCapp0EUpVSiaPuX65p2shO881Ahh/XCDFlbx6W\nYe+pmleYRlyMhW5PO+mxadjMfg2yiUm6UPktBWViAvxJ1E6GEvCIluHbANA0rQdAKZUDXAv8Zbxr\nhJiq+lYXWk0H8wrTcKTJTmSTZbOaWVyShm4dIMWaZnQ4ES/nQqKWHrXw32R+PpsuvkEplQ08B9yr\naVq7Umrcay4lKytpEuFEH2kneH5PNQDvvbp4zPaQthrf3GI7R86DyZMo7TWOqbZPSnospn0mWt2t\nEd/Wkf7+ppM/ibqOd/aGc4ELh6oqpZIY6kU/qGnaq/5ccznNzd1+hBPdsrKSor6d3B4fL791jsQ4\nG8XOxMu2h7SVf9KzvXAemupN0l5jCNTnKSs2g+r2OpqaujCZ/OrDhB352/OPvz9m/Bn63grcCqCU\nWgbUaprmGnX/w8DDmqa9PIFrhJi0QxXN9PS5uWqhE5tVisimqn2wDYCWJgvt3QMGRxP5HAnZuDy9\n9LjlK1H4Z9wetaZpu5VSB5RSOwEvcJ9S6pNAB0MJ+WNAsVLqM4AOPK5p2s+VUgdHXxO8tyCizZuy\ndjqg6ruH5kv1/gQOVzSzcVm+wRFFtpwEB2Utx2lwNZJklxpbMT6/5qg1TXvoopvKRv33JbeD0jTt\nwckGJcTlNLX3cryqnbn5KeRkJBgdTkRo6G7CYrKgD8RyqKJFEnWQvX04RxNz0ooNjkaEAxk3FGFl\n+9GhUof1S/IMjiRy1Pc0kxmXToEjmRPn2unt9xgdUkS7UPndK5Xfwj+SqEXY8Hh9bD9aT3yMleUq\ny+hwIkKP20XPoIvs+EyWzsnC69M5drbV6LAimiPh7R61EP6QRC3CxpHTrXS5BllT6sRusxgdTkRo\nHt7jOysuk6XD27AeGnVGtQi8GIud9Ng0WUst/CaJWoSNN47UArBuiRSRBUrTyGEc8ZnMyE4kIzmW\no2da8Hh9BkcW2ZwJ2XQNdtPr7jU6FBEGJFGLsNDS2Ud5ZRvFecnkZ0mlbKA09Y2cmpWFyWRi6ZxM\n+ga8aNUdBkcW2XLiR+apZfhbjE8StQgLO47WoyNLsgKteVSPGhg1/N182WvE1I3s+S2Hcwh/SKIW\nIc/rGyoii4uxcEWJw+hwIkpTbzN2i42UmGQA5sxIJT7GyuHTLXJmchDlDBeUyeEcwh+SqEXIK6ts\no717gFXzncTYpYgsUHRdp6mvBWdiNmbT0FeB1WJm0ewM2roGqG7sMTjCyCXHXYqJkEQtQp4cZxkc\nXYPdDHgHcSa9c6nb0uEzqmX4O3jirHGk2JOlRy38IolahLT27gGOnGmhyJlEoVNO4wmkxt6hRJyb\n9M7phNKZ6VgtJg7LMq2gyklw0D7QQb+n3+hQRIiTRC1C2vajdei6LMkKhpHeXH5yzjtuj4uxUlKQ\nRnVTDy2dfUaEFhVGhr9HfjAJcTmSqEXI8vl0th+pJ8Zm4cp5UkQWaCNLgy7uUcPb1d/Sqw4eqfwW\n/pJELUJWeVUbrV39XDk/m7gYv86PERPQONyjzkt2vuu+JRfmqSVRB8vI4RwyTy3GI4lahKxXD5wH\n5ACOYGnobSI1JoU4W+y77ktLiqHImcSpmg56+90GRBf55HAO4S9J1CIkNbX3UnamleLcZGbmJBsd\nTsTp9/TTMdB5oVd3KUvnZOL16RytlEM6giHRnkCiLUEO5xDjkkQtQtJrB2vRgc3L5WzkYBgpYBop\naLqUkWVaMk8dPDkJDlr72hj0yqiFuDxJ1CLk9A962H60npQEOytKLp9IxOSNzIs6xuhR52UlkJkS\nS1llqxzSESSOhGx0dJqk8luMQRK1CDm7jzXQN+Bh/ZJcrBb5iAbDSMX3WD1qk8nEkuFDOk5Wt09X\naFHlQkGZHM4hxiDfgiKk6LrOqwdrsZhNbFgqRWTBMlLxPVaihtG7lMnwdzA4Zc9v4QdJ1CKkHK9q\np67FxcqSbFITY4wOJ2I19DYRb40jyTb2kaFzZ6SQEGvlcIUc0hEM0qMW/pBELULKC7uqANhyxQxj\nA4lgHp+H5r5WnAnZmEymMR9rMZtZVJxBe7cc0hEMqTEpxFjsF0Y4hLgUSdQiZJyq6UCr6WDhrAyK\nnLIkK1ia+1rx6b4xl2aNJod0BI/JZMIRn01TbzNen9focESIkkQtQsYLu6sAuGlNoaFxRLqR3ptj\nnPnpEQuGD+mQeergcCZk49G9tPa3GR2KCFGSqEVIOFvfxbHKNkoKUpmTn2p0OBHtQsW3nz3quBgr\n84vSqWnqoalDDukINNlKVIxHErUICX/efQ6Am9YUGRtIFGjws+J7tOVzh4a/D2iSTALtQuW3FJSJ\ny5BELQxX3djNwVPNFOcmM68wzehwIl5DbxM2s5X0WP/besmcTMwmEwc0macONOlRi/FIohaG0nWd\nJ16pAOB962aNW4Uspsan+2hwNeKMz8Zs8v/PPynejipIpbKui7au/iBGGH0y4zKwmCzSoxaXJYla\nGOrgqWa0mg6WzM5kQVG60eFEvObeFtw+D7mJORO+drkaHv4+Jb3qQLKYLWTFZ9LoapK16uKSJFEL\nw7g9Pn7/2mksZhO3bZptdDhRodbVAEDeJBL1srlZmICDMvwdcM74bPq9A3QOdhkdighBkqiFYV7e\nX0NLZz+bl+fjTI83OpyoUNtTD0wuUacmxlCcn8Kp8x10uQYDHVpUk61ExVgkUQtDtHb288KuKhLj\nbNx8VZHR4USNqSRqgBVzs9B1OCibnwSUbCUqxiKJWkw7n67ziz8fp3/Qy4c2FBMfazM6pKhR11NP\nkj2RJPvYe3xfzrKReeqTklACaaRHLVuJikuRRC2m3da9NZys7mDpnEzWLppcz05MXJ+nn9b+dvIS\nJt/mmSlxzMxJ4sS5Drp6Zfg7UBzxWZgwydC3uCRJ1GJa1TT18PSbZ0hOsPPJG0pkOdY0qp9CIdlo\nV8xz4NN1KSoLILvFTnpsqgx9i0uSRC2mTd+Ah8eeK8fj1fnUDSUkx9uNDimqTHV+esTKkqFh2r0n\nGqcck3ibIyGbrsFuet2yTat4J6s/D1JKPQysAnzAFzVN2z/qvhjgUWCBpmkrh29bD/wBOAaYgKOa\npj0Q4NhFGPF4ffzkT2XUtri4Znk+i2dnGh1S1KntGepRT2YN9WjpybHMzk9Bq+6go2dAzg0PEGd8\nNsdbNRp6m5iVIgfTiLeN26NWSq0DZmuatga4G/jhRQ/5L+AQcPFK/W2apm3SNG2jJOnopus6v37x\nJOVV7SwuzuD2zbJm2gi1PfWYTeYJ7fF9OVeUZKMD+6WoLGBkiZa4HH+GvjcDzwBomnYSSFVKjS4Z\nfXDk/ovI5KNA13X+tL2SnccamJmTxD23lGIxy4zLdNN1nbqeerLjs7CZ/RpIG9PKkmxMJtgriTpg\nnPEOABp6ZUpBvJM/35hOYHTVSMvwbQBomua6zHXzlVLPKKXeVEpdM4UYRZjy6TqPv1LBC7vOkZkS\ny/23LibGbjE6rKjU1t9Ov3eAvATn+A/2Q0piDGpGKqfPd8re3wHiSBha+iZLtMTFJvPT2p+ecgXw\nTU3T/qCUmgW8rpQq1jTNM9ZFWVlJkwgn+oRDO7k9Xh5+/CA7jtRR4Ezinz+zmszUuGmPIxzaajqc\nq60EYK6j6JJtMpl22nRFISerOzhe08n7N2RNOcZwEMzPUxZJJMck0tzfEhGf20h4D6HCn0Rdx6ge\nNJAL1I91gaZpdQwVk6FpWqVSqgHIA86NdV1zc7cf4US3rKykkG+n1s5+Hn2+nNPnO5mTn8L9ty5C\nd3umPe5waKvpcrz2LAApprR3tclk20nlJmExm3h1bzVrFzgCEmcom47PU3ZcFmc6qqhtaMNuCd+N\ngORvzz/+/pjxZ+h7K3ArgFJqGVB7ieFuE6N62kqpjyilvjT8304gG6j1KyIR1vaeaOTrv9zL6fOd\nXDEvmy/dvoQE2XnMcOe6awAoSMoP2HMmxdspnZnOucZu6louNwMmJsIZn42OTlOvrFEXbxu3R61p\n2m6l1AGl1E7AC9ynlPok0KFp2rNKqaeAGcBcpdRrwGPAc8DjSqlbABtwz3jD3iK89Q96ePyVCnYc\nrcduM/OpG0pYuyhHNjQJAbquU9VVTWpMCikxyQF97tWlTo6caWV3eQMfXF8c0OeORs6EkYKyJvKT\ncg2ORoQKv+aoNU176KKbykbdd9tlLrt5skGJ8FLV0MWjz5bT2N5HoSOJz948n5yMBKPDEsM6Bjrp\nHuxhSVZpwJ978exMYu0W9pQ38v51szDLD7MpuXA4hxSUiVGmvk5DRC2frvPS3mqefqMSr0/n+isL\n+MC6WVgtsvwqlFR1DQ17FyUXBPy5Y2wWlqssdpY1UFHTgSpIC/hrRJMLa6llK1ExiiRqMSnt3QP8\n/IXjnDjXTkqinbvfM58FM9ONDktcQlVXNQCFyTOC8vxrFjjZWdbA7vJGSdRTlBqTQozFLku0xDtI\nohYTVl7VxqPPltPT52bJ7EzuvFH27Q5l57pqMGGiICkvKM+vCtJIS4ph38kmPnrtHGxWWSs/WSaT\nCUd8NnU99fh0H2aTjE4JOZRDTNCOo/V8/6kj9A96+NiWufzNBxdKkg5hPt3Hue7zOBOyibXGBuU1\nzGYTV8530Dfg4cjp1qC8RjRxJmTj0b209LUZHYoIEZKohV90Xee5HWf55V9OEGu38PcfXsqmZflS\n1R3iGlxNDHoHgzbsPWL1gqGtFnaWjbnFgvDDSEFZo8xTi2GSqIVf/rS9kmd2nCUzJZaHPr6cuTNS\njQ5J+GFkfjoYhWSjzchOpNCZRFllGx09A0F9rUg3skSr3iV7foshkqjFuF49cJ4Xdp0jOy2Of/r4\ncll6FUbervgObo8a4OpFOfh0nV3HGoL+WpEsR07REheRRC3GtP9kE4+/fIrkeBt/d/sSUuTs4bBy\nrqsGm9lKboAO4xjLqvkObFYz24/Wo+sXn3or/JUZl4HVbKXeJT94xBBJ1OKyztZ38djzx7HbLfzt\nbUvINuBQDTF5g95B6lwNzEjKw2IOfiV2fKyN5XOzaGzrpeJ8Z9BfL1KZTWYc8Vk0uJrw6T6jwxEh\nQBK1uKSBQS+PPVeOx+vj3ltKKXTKSTjh5lxXDT7dF/RCstGuXpQDwPajddP2mpEoJ8HBoM9NW3+H\n0aGIECCJWlzSE69W0Njex3VXzGBRcYbR4YhJ0NpPA6DSZk/ba6rCNDJTYtl3som+Adnef7JyRvb8\nloIygSRqcQkHtGbePFLHjOxEPrBODloIVyfbTmM2mZmdOmvaXtNsMrF2UQ6Dbh/7Tkox1GRJ5bcY\nTRK1eIcu1yC/evEENquZz968AJtVPiLhqM/Tz7nuGgqTZhAXpI1OLmftwhxMwPYjMvw9WTmSqMUo\n8i0s3uHpN8/g6vdw6/pi8jJlGVa4Ot1RiU/3UZI+fcPeI9KTY1kwM50zdV3UyjnVk5IZm47VZJFE\nLQBJ1GKUs/VdbD9ST35WApuWB2dfaDE9TrZVANM7Pz3a1YuHzlLeIUVlk2IxW3AkZNPQK5XfQhK1\nGKbrOo+/cgoduOOauVjM8tEIZ1r7aexmG0UphYa8/pLZmSTG2dh1rAGPVxLNZDjjsxn0DtIuld9R\nT76NBQB7yhs5U9vFCpXFvEI5qjCcdQ50Ue9qZHbqLGxmYw7Is1nNrFrgoLvXLQd1TJLMU4sRkqgF\nA24vT207jc1q5rZNxgyVisC5sCzLgPnp0dYtkuHvqZBELUZIohZsO1RLZ88gW1bOIDNFdh8Ld1rb\nyPrpOYbGkZ+dSJEziaOVrbR3y0EdE+W8sJZalrlFO0nUUW7A7eXFPeeItVu47orgnrAkgs+n+zjR\ndopEWwJ5icHf33s8Vy/ORddhhxx/OWFZcRlYpPJbIIk66m07VEtXr5trVswgMc5mdDhiis50VNE5\n2MWizPmYTcb/ea+a7yDGZuHNw3X4fHJQx0RYzBYc8VnU9zbKISdRzvi/ZGGY0b3pLSunbz9oETz7\nmw4DsNyxxOBIhsTFWLlyfjatXf0cO9tmdDhhJyfBwaB3kLb+dqNDEQaSRB3FpDcdWbw+L4ebykiy\nJzI3LXS2fl2/ZGhN/huHaw2OJPzkDk9f1MmRl1FNEnWUcnu8vPhWtfSmI8jJ9tP0uF0sy14cEsPe\nI2bmJFPoSOLIaSkqm6iRc8RreyRRR7PQ+WsW02pPeSNdrkE2Ls2T3nSEONA4NOy9wrHY4Ejebf3S\nXHy6Lvt/T1Bu4tCxoXU9UowXzSRRRyFd19m6rwaL2cTm5flGhyMCwO11c6S5nPTYNGYmG7Mb2Viu\nnOcg1m7hjSN1eH2yU5m/0mNTibHYZeg7ykmijkLlZ9uobXGxcl426cnTe7KSCI7y1pP0e/tZnr0Y\nk8lkdDjvEhdjZdUCJ+3dA5SdkaIyf5lNZnITnDT2NuPxyfne0UoSdRR6aV8NgMxNR5AddW8BoVPt\nfSkblgztVLZNisomJDfRiU/30djbbHQowiCSqKPM+eYeys+2oWakUuRMNjocEQDV3ec50XaKuanF\nzEjKNTqcyypwJDEzJ5myylZaO/uNDids5CYMzVPXyjx11JJEHWW2jvSmr5DedKR4+dw2ALYUbjQ2\nED9sWDK0U9mbUlTmtwtLtKTyO2pJoo4iPX1u9pQ3kp0ax+LZmUaHIwKgqbeFQ01lzEjMpSTd2L29\n/XHFPAdxMVa2H5WiMn+NLNGSgrLoJYk6iuw4Wo/H62PD0jzMIVhwJCbu1eo30NG5tnBjSBaRXSzG\nbmHNAicdPYNy/KWfEu0JJNuTpEcdxSRRRwmfrrPtcC02q5m1i3KMDkcEQMdAJ3saDpAZl8HS7IVG\nh+O39UulqGyichOctA900OvuMzoUYQBJ1FHiRFU7Te19XFGSLRucRIj/O/UcHp+H6wo3hdROZOPJ\nz0pkdl4K5ZVtNHVI4vGHbCUa3az+PEgp9TCwCvABX9Q0bf+o+2KAR4EFmqat9OcaMf1ePzTUe9mw\nLM/gSEQglLUc51BzGbNSiliVs9zocCZs49I8Ttd2su1QLbdtnG10OCHv7R3KGpidOtPgaMR0G/dn\nuFJqHTBb07Q1wN3ADy96yH8BhwB9AteIadTePcDhihYKHInMypElWeGu3zPA77VnsJgs3KE+EFa9\n6RErSrJJirex/Ugdg26v0eGEvDwpKItq/vyFbwaeAdA07SSQqpRKHHX/gyP3T+AaMY3eOFyLT9fZ\nuDQvLAqOxNheOPsS7QMdXFu44cKQaLixWc2sW5yLq9/D3hNNRocT8pwJDkyYZC11lPInUTuB0Vvi\ntAzfBoCmaa6JXiOmj8+ns/1oPbF2C1fOdxgdjpiispbjvF6zg+y4TK4v3GR0OFOyYUkeJhO8dvC8\n0aGEPLvFhiMhm9qeOny6LGuLNpMZM5tMl0y6cQY5draN9u4BVs13EGv3qyRBhKim3hZ+ffxJbGYr\nd5V+FJslvIsCM1JiWTI7k6qGbirruowOJ+TNSMxlwDtIc58sa4s2/nxz1/HO3nAuMN74y2SuISsr\nyY9wxETaae9fTgDw3vWzo7J9I+U9D3gG+c6B39Hn6efzV3yCZTNLAvr8RrXT+zbO4VBFC7uON3Ll\n4tAvdDTy81TinMW+xkN0mdoozZplWBz+ipS/vVDgT6LeCnwT+JlSahlQe4nhbhPv7DX7c827NDd3\n+xNzVMvKSvK7nbp6B3nrWAP5WQmkxlqirn0n0lahTNd1fnX8Cc511rI2bxULEksD+r6MbKe8tFgc\naXG8eaiWW9YUkhRvNyQOfxj9eUo3ZwBQXnuGOXHKsDj8YXRbhQt/f8yMO/Stadpu4IBSaifwfeA+\npdQnlVK3ACilngKeAOYqpV5TSn14+JqDo6+Z5PsQU7D7WANen87Vi3KliCyM/bXqNfY3HmZmciG3\nzrnZ6HACymwysXFZPh6vj+1HpVBqLPmJQxvFnO+RfdKjjV+TlpqmPXTRTWWj7rvtMtc8OIW4xBTp\n+lARmdViYnWp1PGFq4NNR3nh7EukxaTyuUWfxGaOvDqDtQudPP3mGV4/WMv1VxRgNsuPykuJt8WT\nEZtGTXctuq7Lj+8oEn4LMIVfKuu6qGtxsXROluxEFqZquuv4zfHfE2Oxc+/iT5Fkj8wVjvGxNlbN\nd9La1c/RM1IoNZb8pDx63C46B6X4LppIoo5Q248ODY9dvVj29Q5HLncvPyv7DW6fmzvn30FeYmT/\nf9w0vGOeLNUa24zh4e+abtknPZpIoo5Ag24v+042kZYUw/zCdKPDERPk0338qvwJWvvbuKHoGhZl\nLTA6pKArcCQxOz+FY2fbaGzrNTqckDUjaegHjSTq6CKJOgIdPt1C34CXVQscMt8Xhv5y9hWOt2nM\nz1DcOPMao8OZNiO96pF96cW75ScNF5R1S0FZNJFEHYF2HxvaD3jNAikiCzcV7ZX8tepVMmLTuXP+\nHWG5j/dkrVDZJCfY2XG0nv5Bj9HhhKQUezJJtkRqpPI7qkTPt0CU6HINUlbZRqEjibysyCw+ilR9\nnn5+c+L3AHxqwR0k2OINjmh6WS1mNizJpXfAw65jcvjEpZhMJvKTcmnrb8fllimCaCGJOsK8daIR\nn67Lkqww9H8Vz9HW3851RZuYmVJodDiG2LgsH6vFxMv7avDp+vgXRKGReWoZ/o4ekqgjzO5jDZhN\nJjmAI8wcaS5nT/1+ZiTlcWNR9MxLXywlwc6V8x00tvdRJku1LmkkUVd3S4V8tJBEHUHqWlxUNXRT\nOiudlITQ3YpRvFOfp5/fa3/CarbyyfkfxmK2GB2Soa5dMQOArftqDI4kNBUmDbVPVZe0T7SQRB1B\ndpcPzeutliKysPLnyq10DnaxpXAjOQkyElLgSKKkIJUT59o539RjdDghJz02lWR7ElVd1UaHIqaJ\nJOoI4dN19pQ3EGu3sHROptHhCD/VdNey7fxOsuIy2FKwwehwQsa1K4d71ful13gxk8lEUXIBHQOd\ndAx0Gh2OmAaSqCPEqeoOWrsGWFGSjd0W3UOn4cKn+3hS+xM6Orer94f9+dKBtLg4k+y0OPaUN9DR\nM2B0OCGnKHl4+LtTetXRQBJ1hNgla6fDzp76A1R1VbM8ezHz0ucaHU5IMZtNXHdFAR6vziv7pWjq\nYjNTCgCZp44WkqgjwIDby36tiYzkGOYWpBodjvBDv2eA5yv/is1s4wNzbjI6nJB0VamT5Hgbrx+q\npW9ANkAZrSApHxMmznadMzoUMQ0kUUeAwxUt9A96WbXAiVmOvgsLr1S/QddgN9cUrCc1JsXocEKS\n3WZh84oZ9A14eOOwrBkeLdYaS06Cg+qu83h9XqPDEUEmiToCjAx7S7V3eGjv7+CV6jdIsSdxTcF6\no8MJaZuW5RFjs7B1XzUer8/ocEJKUXIBgz439a5Go0MRQSaJOsx1ugYpP9tGkTOJ3MwEo8MRfni+\n8iXcPjc3zbqeWGuM0eGEtIRYG+uX5NLRM3hh+aEYUpQyVFB2VpZpRTxJ1GHureOyZWg4qe2pZ2/D\nQfISc1iVs9zocMLClpUzsJhNvLinGp9PthUdUZQ8UlAmiTrSSaIOc7uO1WMxm7hynmyUEQ5eqNyK\njs7Ns66PqpOxpiI9OZY1pU4a2nrZd7LJ6HBCRk6CgxiLXSq/o4B8U4Sx2uYeqht7KJ2ZTrJsGRry\nqrqqOdpSzqyUIhZklBgdTlh5z5oizCYTz++qksM6hplNZgqTZtDoaqLX3Wd0OCKIJFGHsV0jW4bK\nsHdYeP7MSwDcPOs6TFKdPyHZqXGsLnVQ1+LigNZsdDghozi1CB2dys4qo0MRQSSJOkz5fDp7yhuJ\ni7GyZLZsGRrqTrWf4WR7BSVpc5iTVmx0OGHppjVFmEzw3M6z0qseNid16LN0quOMwZGIYJJEHaZO\nVrfT3j3AypIs2TI0xOm6zvOVfwXg5uLrDY4mfDnS4lk130lts4uD0qsGhnYos5osVLRLoo5kkqjD\n1G5ZOx02yltPUtl5jsWZCygc3qNZTM57rxrqVT+786xUgAN2i53C5AJquutknjqCSaIOQwODXvaf\naiYzJZY5M2TL0FDm0308X/kSJkzcNOs6o8MJe870eK4qzaG22SXrqofNTZuFjs6ZzrNGhyKCRBJ1\nGP+ToCMAAB/GSURBVDpY0cyAbBkaFg41lXG+p44VjiXkJsroRyDcsnYmVouZZ7afxe2R3cpG5qkr\n2isNjkQEiyTqMHThpCyp9g5pXp+XP5/ditlk5saZ1xodTsTISIll07I8Wrv62Xa41uhwDDczpXBo\nnloKyiKWJOow09rZx/GqNopzk3GmxxsdjhjD3oaDNPY2szpnJdnxUpkfSO9ZXUis3cILu6qi/mQt\nu8VGUYrMU0cySdRhZtuB8+g6rFmYY3QoYgxun4e/VL2C1WzlhqLNRocTcZLi7Vx/ZQHdvW5e2itb\naM5JLZZ56ggmiTqM6LrOq/trsFpMrCzJNjocMYaddW/R1t/OurzVpMVKwV8wbFk5g5REO399q5rW\nzn6jwzHU3LRZwNB6fRF5JFGHkXON3dQ0drNkdiaJcTajwxGXMegd5KWq14ix2NlSuNHocCJWrN3K\nreuLGfT4+MO200aHY6ii5EKsZitae3S3Q6SSRB1GdpWNFJHJsHcoe+P8LroGu9k442qS7IlGhxPR\nVpc6mZmTzN4TTZyq6TA6HMPYLTbmpM6itqee9v7obYdIJYk6THi8PvYcbyQl0U7prHSjwxGX0efp\nY+u514m3xrF5xjqjw4l4ZpOJj1wzB4AnXqmI6q1FF2bOB6Cs5YTBkYhAk0QdJsoqW+npc7N+aT5W\ni/xvC1WvVm+n19PHtQUbiLfFGR1OVCjOS2H1AifnGrt580id0eEYpnT4RLZjrZKoI41844eJkbXT\nG1fIFpShqnuwh9dq3iTJnsj6GVcZHU5UuXVDMbF2C//3+hk6ewaMDscQGXHp5CY40dpPM+AdNDoc\nEUB+JWql1MNKqV1KqR1KqRUX3XeNUuotpdROpdRXh29br5RqUkq9ppR6XSn1g2AEHy16+twcOd1C\nXlYCxXkpRocjLuPlc9sY8A5yfeFmYixyPvh0SkuK4dYNxfQOeHji1QqjwzFMaeY8PD4PWlv0tkEk\nGjdRK6XWAbM1TVsD3A388KKH/AB4P7AW2KKUKhm+fZumaZv+f3t3Hh9Vfe9//HVmsu/7QggkLPkC\ngYCo7IggiigKLS69tlas3pbe7vfX++i9/XXR3raP3t7W+uv2uL+fW611ResuIiqCGEEWAwTCFwgh\nhOz7Mpkss/z+OIONYGCAJOck+Twfjzwyk3PO5J1vzsxnzjnf+X611ku11t8ZyNCjza6SWjxePwum\nZ8g8xjbV0t3K1spCEsMTWJg11+o4o9LVl2UxMcvsWLa/tMHqOJaYkTIVkNPfI00wR9TXAC8BaK0P\nAwlKqRgApVQu0Ki1rtJa+4E3AusDSEUZIIXFNRgGzJsmQ4ba1cayt/H4PNyQey2hjhCr44xKDsPg\nruun4HQYPLFJ09Uz+kYsy4kbR0xoNMUNJfhHcce6kSaYQp0B9J38tSHws89aVgec/uzQNKXUS0qp\nbUqp5ZecdJSqaeqktKqN/JwkEmPDrY4jPkNtZz2F1btIj0plbsZsq+OMamNTY7h+7jga27rZsGX0\nDf7hMBzkJ0+htaedinYZB32kuJjOZOc6Uj697Ahwn9Z6DbAOeEQpJYcZF6GwuBqQCTjs7NXSN/H5\nfdw8cSVOh9PqOKPezQtzyEqNZsvHlewvbbQ6zpCbHjj9va++2OIkYqAEUzyr+McRNMAYoLrPsr6j\nb2QBVVrramADgNb6uFKqJrCs/Fy/KDU1NsjYo4PP52dnSR2R4SFcuyCXiDDz3yXtFLzBbqujjWV8\nXH+Aycm5LJ86b9j2IRhp+9QPvnwl//rgVh5/8zB//LdlxEUPTOe+4dBOVydeyZOHN7CnYR/r5q7F\nYVjz4Z7h0FbDRTCF+i3gPuAhpdRsoFJr7QLQWpcrpWKVUuMwi/Yq4A6l1B1Aptb6t0qpDCANOO95\nmPr69ov8M0amgyeaqG92s6ggk/ZWN+2YO7+0U3AGu638fj9/+fh5AG4ct4KGho5B+12DaSTuUzGh\nDtYsnsDz75Xyuyd38/U10y/5TdRwaqeZKdPZWbOHnceKmZSQO+S/fzi1lZWCfTNz3rdaWusPgT1K\nqQ+AB4FvKKXuUkqtDqzydeAZYCvwtNb6GPAKsEQptQ14EVivtR59PTsu0bYic/CGq2aOsTiJ+CwH\nGw9ztOU405OnMjkwKYKwj+vnjGPy2Hh263re3199/g1GkDmBvhIf1ey1OIkYCEFdN9Za//CMHx3o\ns2w7sOCM9TuAmy853SjW1tnD3iP15menx8RZHUecwef38XLpRgwMVk9caXUc8RkcDoN/vmka9z+2\ni7+9dYScjFjGpY+O07F5iROJD4tjb91+bs1bLZ9EGOZkZDKbKjxQg9fn56qZY4btdc+RbFfNx1S5\napibcTljYqSjn12lxEdy76ppeLw+/vxiMZ1do+PEnsNwcEXGLNweNwdl7O9hTwq1Dfn9frbuqyLE\n6WB+vhQBu+n19vLq8U2EOEK4ccK1VscR5zFzUgo3zh9PXYubR98YPZ8vnpMeOP1d+7HFScSlkkJt\nQ0cqWqht6uTKKaky77QNba0spLm7hSVjF5AUkWh1HBGENYtzmTIugb1H6nn1gxNWxxkSY2PHMCY6\ng+KGEjp6XFbHEZdACrUNbZVOZLbl6u1k04l3iQyJYMX4ZVbHEUFyOhysXz2dlPgIXtpexkcltVZH\nGhLzx1yJ1+/lg6qdVkcRl0AKtc20d/awW9eTkRRFXnaC1XHEGd4o20ynx82K8cuIDo2yOo64AHHR\nYXz7lgIiwpw88noJx6varI406OZnXkmEM5ytpwrx+EbH9fmRSAq1zWwtqsLj9bH0sizpRGYz1a5a\ntlV+SGpkMldnL7I6jrgIY1NjWL86H4/Xxx9e2E9di9vqSIMqMiSC+WOupLWnjb11+62OIy6SFGob\n8Xh9bPm4kvAwJ4sKMs+/gRgyfr+fF46+is/v4/OTVsnHXYaxgokp3LE8j1ZXDw88UzTi56++euxC\nDAy2VGwfNR3pRhop1Day90g9ze3dLJqRSWS4FAI7Odh4mJKmI0xJnMyMlGlWxxGX6JrLx3LTghzq\nWtz89tl9dHb1Wh1p0KREJlOQms/J9lOUtp6wOo64CFKobeTt3acAWH75WIuTiL56vL1sOPoKDsPB\n2sk3ySWJEWLN4lyWzs7iVH0HD27Yj7t75F7DXZa9GIB3T26zOIm4GFKobaKsuo1jla0UTEwmPUk6\nKdnJpvJ3aXA3cvXYhTK4yQhiGAZfvDaPedPSOVbZygPPFo3YI+uJ8TnkxI1jX8NBytsqrI4jLpAU\napuQo2l7qnHVsrn8PRLDE7gx9zqr44gB5jAM7lk1lfn56ZRWtfGbZ4rocI+8Ym0YBqsnXg/AK6Vv\nWpxGXCgp1DbQ1NbFRyW1ZCRFMS03yeo4IsDn9/HU4b/j9Xu5LW81ESHhVkcSg8DpcHDPjdNYNCOT\nEzXt/PqpvTS1dVkda8DlJU5ialIeh5uPcrjpqNVxxAWQQm0DG3eexOvzc8O88Tjk+qdtFFZ9RGlr\nGTNT8ilIzbc6jhhEDofBuhumsGx2FqfqXfziiT2crB150zTePOEfR9XSA3z4kEJtsdaObrbtqyI5\nLoJ5+elWxxEBdZ0NvHDsNSJDIrk1b/X5NxDDniNwzfrWpRNpbu/mV0/upfh4o9WxBtS4uLHMTiug\nvL2Cj+sPnH8DYQtSqC22aVcFvR4fN8wfT4hT/h124PV5efzQM/R4e/hC3hoSI2SEuNHCMAxWzh3/\nyaAov3tuH698UIZvBB193jRhBSGGkxeOvorbM/JO8Y9EUhks1OHuZcveShJiwlg0Q3oT28Vb5Vs4\n0XaSK9JncUXGZVbHERaYMzWd//jS5STFhfPS+2U8uGEfba4eq2MNiLSoVK4bv5SW7lZePb7J6jgi\nCFKoLbR5VwXdvV6unzue0BCn1XEEcKT5GG+ceJuE8Hhuz1tjdRxhodzMOH569xymT0ii+HgT3/rN\nu+wvbbA61oC4LmcZ6VGpbDtVyIm2k1bHEechhdoira4eNu+uIDYqlCUyS5YtNLgbebj4bxgY3J1/\nB1Ey6caoFxMZyndvncnaJRNoc/Xw4Ib9/GVjybAfHCXUEcI/qc/jx89Th1/A6/NaHUmcgxRqi7z8\n/nG6erysXpRLeJgcTVuty9PF/93/OK7eTm7PW8OkhFyrIwmbcBgGN87P4YHvLiE7LYZt+6r50cM7\n2aPrhnXP6cmJE5mfeSWVHdW8XrbZ6jjiHKRQW+BUfQdb91WRmRzFkllyNG01j8/DYwefospVw5Kx\nC1iYNdfqSMKGcsfE8+O7rmD1olzaO3v404vF/P75/TS0Dt8ZuNZOvonkiCTeKt/CkeZSq+OIfkih\ntsBz7x7D74fbl03C6ZB/gZU8Pg8PFz9BceNhpiblsXbSTVZHEjYW4nSwelEuP7tnLlPHJ7KvtJEf\nPbyTjTvL8Xh9Vse7YJEhEdyd/08YhsHjh57B1dtpdSTxGaRKDLEDxxspLmsiPyeRGROSrY4zqnl8\nHh4pfpIDDSVMSZzMV2fchdMhlyHE+WUkRfH9L8zi3lVTCQtxsmFLKT/7y25KK1utjnbBcuPHc2Pu\ntbR0t/K3kg34/MPvDcdIJ4V6CHX3eHly8xEMA25bNllmYbJQe08Hfyx6mP0NB1GJk/hawV2EOUOt\njiWGEcMwWDA9k19+dR5XzczkVH0Hv3xiD3/dpIfd5B7XjV9KXuIk9jccZNOJd62OI84ghXoIPb+1\nlLpmNyuuHEd2WozVcUativZK/mvX7znacpxZqTNYX7COMGeY1bHEMBUTGcq6lVP59y/OJjMlmvc+\nruSHD+1kx6GaYdPZzGE4+Er+HSRFJPJa2Vvsrz9odSTRhxTqIVJyool39pwiMzmKz10lPYqt4PP7\nePvkVn675080d7ewKncF907/khRpMSDyshO47+4rWbtkAu5uD//vlUM88Nw+6pqHx3Xf2LAYvjrj\nLkIdoTx+6BmqXbVWRxIBUqiHgLvbw6NvHMZhGNy7apoMbmKBalctD+z5My8ee51wZzjrC9axMvca\nufwgBlSI08GN83P4z3vmMD03iYNlTfz4kY94tfDEsOhslh07hi9NvZUubzd/KnqElu7hd819JAqx\nOsBI5/f7eWKTprGti1ULcsjNjLM60qjS3tPBG2Vvs71qBz6/j8vTZnJb3hpiwqKtjiZGsLTEKL53\n20x2Ha7j6beP8uK24+w4WMNd108hL9veY8dfkT6LBncTrx5/kz8VPcL3Zq+XwX8sJoV6kL1WeIId\nh2qZOCaOmxfmWB1n1HB7unjh4Pu8XLKZLm8XaZEpfH7yKmakTLM6mhglDMNgztR0pucm8cLW47z3\ncSW/enIviwoyuW3pJGIi7dt5ccX4pbT1tLP11Af8z/6/8M1Z98olIgtJoR5EH5XU8uL7ZSTHRfDN\ntQUyO9YQ6OztZFvlDt49uQ2Xp5PokChumXwzi7PmEeKQ3V0MvaiIUO5coVgwI4PHN2q276+m6GgD\nty+bxILpGba8/GIYBrdMvon2nnb21u3nz/seZX3B3USEhFsdbVQybNQr0V9fP3Imaj96qoXfPFOE\n02HwwzsvZ2zqwPTyTk2NZSS100BpdDexpWI7H1R/RI+3h6iQSG6eei1XJF5BZEiE1fFsTfap4AxE\nO3m8Pt7efYqXth+np9fHlHEJ3LlCkZlsz0sx5qh9T1NUf4AJ8eP5l5lfITIk8rzbyT4VnNTU2KDe\npUmhHgQHjjfypxcP4PH4+fYtMyiYmDJgjy1PgE8rb6vgnZPb2Fu3Hz9+EsLjuXrsQhZlzWVcZpq0\nVRBknwrOQLZTQ6ubpzYfpehYAyFOgxVzxnHDvPFEhtvvrI/X5+WvJc+yu7aI7Ngs1hesIyE8/pzb\nyD4VHCnUFtlxsIZHXi/B4TD4+urpzJo8cEUa5AkA4Pa42V27jw+rd1HeVgFAVkwmy8ctYXZawSen\nuKWtgiPtFJyBbie/38/eIw089fYRmtu7iYkM5aaFOVw9K4vQEHtdJvP5fTx9+O8UVn9EfFgsXytY\nx/i47H7Xl30qOFKoh5jH6+Pl7WW8/mE5keEhfOeWgkHp3TlanwCu3k6KG0rYV1/MoSZNr8+DgUF+\nsmJp9mJU4qSzrvWN1ra6UNJOwRmsduru8bJ5dwUbd5bj7vaSEBPGtVdks2TWGKIi7NPhzO/3807F\nNl469gYhDie35q1mQeacz7zGLvtUcKRQD6FT9R08/OohTtZ1kBIfwbfWFgzayGOj4QnQ7e2h1lVH\ntauWio5KjjYfp7KjGj/mvpoRlcaVGbOZl3n5OU/BjYa2GgjSTsEZ7HZq7+xh446TbCmqpLvHS3iY\nk3nT0lkwPYNJWfG26XRW3FDCYwefpsvbxfTkqdwxZS3x4Z/+2KnsU8GRQj0EWjq6eePDct4rqsTj\n9XPVzDHcvmzSoF5nGklPgM7eTmo6zYJc46ozvzrraOpq/tR6IY4QcuPGMTUpj5mp08mITgvq8UdS\nWw0maafgDFU7dXb1snVfFW/vPkVze7f5uxMiuGxyKgUTk5k8NsHyU+NNXc08UbKBI83HiA6JYmXu\nchZlzSNULjtdkAEt1EqpB4B5gA/4rtZ6d59ly4FfAB5go9b65+fbph/DplBXNrjYWlTJ1qIqej0+\nkuMi+OJ1ecyaNLDXoz/LcHsC+P1+2ns7qAkU42pXnXm7s462nrP/jriwWDKi08mISiMzOo3M6Axy\n4rIJvYgJM4ZbW1lF2ik4Q91OPp+fkpPNFB6oYe+Rerp7vQCEhzqZMCaOyWPjmZgVT3ZaDPHRYUN+\nxO3z+3i/cgevlL5Jl7eL5IhEVuYs5/L0WWRlJMk+FYQBK9RKqauA72utb1ZKTQEe1Vov6LP8IHAt\nUA1sBb4KpJ1rm37YtlD7/X4qG1wcLGtix8FaymvNnElx4axakMOiGZlD9hlpu76o9vo8NLqbqHc3\nUNfZ8MnRcY2rlk6P+6z1kyISyYhOCxTk9E9uD+QISHZtK7uRdgqOle3U6/GiK1o4UNpEcVkj1Y2f\nHj88JjKUrJRoslKjGZsaw5iUaFITIomPCcMxyAW8o8fFpvJ32XaqEI/fS3RIFEsnzCc/Pp/smCzb\nnLK3o4Es1PcD5VrrRwP3DwFztNYdSqlc4HGt9VWBZT8AXEBqf9uc41fZolB7fT6a27qpbHBRUdfB\nydp2jlS00NZpTlvnMAymT0hiwfQMLpucOuSnoKx6sfD5fXT0umjpbqWlq5V6d6P51dlAvbuBpq6W\nT64hn+YwHKREJpEZlU56dKAgR6WRHp1G+BCMciQFKDjSTsGxUzt1uHsprWzleFUblQ0uTtV3UN/s\n5sxX89AQBynxEaQmRJKaEElyXASJseEkxoaTEBNGYmz4gM090NTVzPuVO/iwahftveZLfXxYHPnJ\nignxOYyPyyYjOg2HYa8e7VYKtlAHczE1A+h72roh8LNjge/1fZbVAxOB5HNsc9E8Xh+uLg9+vx+/\nn0999wEE7vv6fPd4ffT0+uj1+uj1mF9dPR5cbg8d7l463D10uD10dPbQ0tFDY1sXXt+nd/f46DDm\n5aczdXwiBRNTiI++8CLT5emm29uNHz8+v8/M7PfjJ3Abf+BnPnz48Pp8eP1ePD4PXr8Xr89rvlvt\nDKWp1YUvcN/r8wS+ewPrf/q73+/DYThwGA4Mw4HDMHDg+ORnDsMwf44Dj6+Xbm8PXV4za7e3B1dv\nJ63dbbT2tPU7oXx8WCwT4nNIi0ohNTKZ1KgUMqLSSI1K+eSalRBi4MREhjJzUgoz+1xu6+71Ut3o\n4lSdi+omF/UtXdS3uGlocZ91BN5XdEQIcdFhREeEEhMZSnRECNGRoURHhhIR6iQ8zElYiIPwUCdh\noU7CQh04HAZOh4HDCHx3GDgd4SxMvpr5yYup8pWzq6KII61HKazeRWH1LsDsb5ISkURqVDJxYXFE\nh0YFvqKJCY0iwhmO0+HEaThxGE6chuOT+87AaxaYvzcmNHrUHK1fzKvouVqmv2UD0pr3/2UXlfWu\ngXiosxhAbHQYOZmxpMZHkpEURXZ6DNlpMSTHRVzSDtHgbuI/d/4Gj88zcIGHiMNwEB8Wx/jYbOLD\n40gIjyM+PI6UyGTSIlNIiUyWYQWFsIHwUCc5GXHkZJw98U9nVy/1LV00tnXR0tFNc3s3Le3dNAdu\nd7h7qW1y4xvQzsWZQAZGVBuOmFYc0a1EJ3fT2tNOTWfdJT/6suzFrJ1806XHHAaCKdRVmEfDp43B\nvB59ellmn2VZQCXQfY5t+mOkpsaec4X/+fflQcS1n1RieWrcH6yOMSqdb58SJmmn4Azndhrf//gk\nwuaCuVjwFnALgFJqNlCptXYBaK3LgVil1DilVAiwKrD+5v62EUIIIUTwgv141i+BJYAX+AYwG2jR\nWr+slFoE/BrwA89rrX/3WdtorQ8Mzp8ghBBCjFx2GvBECCGEEGeQfvJCCCGEjUmhFkIIIWxMCrUQ\nQghhY7YajUIp9X3gi0AP8C9a6z0WR7ItpVQ6UAKs0VpvszqP3SilnMAjmAPwODGHtC20NpX9XMSY\n/KOSUurXwCLMfelXWusXLY5kW0qpCKAY+JnW+q9W57ErpdQXgX8DeoGfaK039reubY6olVLTgNsw\ne5R/DfOjXqJ/vwZKrQ5hY3cCHVrrxcC9wO8szmM7gXH8JwXG4b8X+L3FkWxJKXU1MC3QTiuBB61N\nZHs/BhqtDmFnSqkk4CfAAsxat/pc69vpiHoV8JzW2g8UBb7EZ1BKLQXaAPnIW/+eAJ4K3K4HkizM\nYlfXAC8BaK0PK6USlFIx5xmTfzTaCuwM3G4BopRSRuC1SvShlFLAFOB1q7PY3HJgs9a6E+gE1p9r\nZTsV6hzAq5TaiJnrf2mt91sbyX6UUqGY78RWA//H4ji2pbX2Yn6GH+C7/KNoi3841zj+IiBQkE9P\nAXcv8IYU6X79FnOsjXUW57C7HCBaKfUykADcr7V+t7+VLSnUSql7MHf40zu7gTk15pta65VKqYXA\nw8AcK/LZxRntZAS+vwk8pLVuM9+8Dsw46sNZP+30U631ZqXUN4DLgNExKPClGfX70rkopVYDdwPX\nWZ3FjpRSdwKFWutyeW06LwPzLN8aIBfYAozvd2W7DHiilPopcFhr/Wzgfq3WOt3iWLajlNqO2bfA\nwOwoVQfcqrUusTSYDQUK+Fpgtda61+o8dhN4zlVprR8K3C8FCmS437MppVYA9wMrtNatVuexI6XU\nM5hFxweMBbqAr53rSHG0UkqtA9K11v8VuF8MXK21bvis9e106vtNzPP0zyqlpgAVFuexJa31otO3\nlVKPAY9JkT6bUmoCZqfEq6RI9+st4D7gIRmTv39KqTjMzpvXSJHun9b6C6dvB94ElkmR7tdbwGOB\nTxMkAdH9FWmwUaHWWu9USq1UShVinrr8htWZhgF7nA6xp3swnwBvKKVOnw6/Tms9/OYaHSRa6w+V\nUnuUUh/wj3H8xdluB5KB5/rsS1/WWp+yNpYYrrTWVUqp54EdmPvTN8+1vm1OfQshhBDibLb5HLUQ\nQgghziaFWgghhLAxKdRCCCGEjUmhFkIIIWxMCrUQQghhY1KohRBCCBuTQi3EEFFKPaGU+vIFbnOX\nUurui11+MZRSE5VSR5RSfxzAx5yqlJoVuP0DpdTKgXpsIUY62wx4IoQ4m9b68UtZfpEWAHu01ucc\nhOECfQ6oBYpOD5sohAiODHgixCAJjGL1KJAPnASigacxZ2L6VmC1euBerXWzUmoV5sxobuAI5pC6\nPwKcmONMPwJMxhzJ6GOt9bcCQzU6tdY/UUrdiDkXsAtz6ryvaq2rlVJlmDOtrcSctWe91npLP5kn\nAq9hzujzQiBfiNb6x4HlZZjTYy7GnKrPCSjghNZ6bWCdHwE3Y4529jdgD/Ai5hSR9wMrgPe11o8q\npb6COdSrC7OQ/7PWukMp1QL8PJA5A7hNa33wwv4DQowMcupbiMGzHMjTWs8B7gRmAuOA/405bvRV\nmHMd/1ApFQk8BFyvtV6COeXkgj6PNQOYo7VeGBjvvUgpFXt6YZ/tP6e1vgZz7Pyf99m+U2u9AvgF\n8O3+AmutS4FfYc6Ve/qIuu+7+b635wPrtNaXAzOVUjOVUouAGwJ/82LgWuBQIM9/a62f6ZM5G3Os\n8aVa62XAKeB7gcVxwP7A3/Is5uxoQoxKcupbiMEzAygE0Fq7lVI7gW4gE9gUOOIOA8qAacBJrXVT\nYP3/AFBKLQs81iGgXin1GuYR73Na6/bAdIIAeUCN1ro6cP89zCNV+twHKMccA/1i9Z268COtdU/g\ndkXgcWcD7wf+Bg/mNH70ydnXbGC31roziMwTLyGzEMOaFGohBo+BOeXfaU7MQr1Ta31z3xUDs1c5\n+3ugQEFcEuiQdROwSynV94j79FzcfX9336NfzxnLgnXmtbGwfh6z7+8M9kzdYGUWYkSRQi3E4DmE\nea2WwGnqucCHwBylVLrWulYpdQtm8X4HGKOUGhOYWed3wCdTBCqlLgfytdZ/xTztPR3zKPq0I0Cq\nUmpsYFan5Zgz81yqNsxT9iil8oHU86xfCPxZKeXELNhvAV/AfMMSesa6e4A/KKWiA9NrLsdsHyFE\nH3KNWojBswk4qZTaATyMWcQqge8Aryml3gO+AuwInP69B/i7UmorZmeu1/s81jHgFqXUdqXUO5gd\nsz44vVBr3RXY/jml1LvAMsyOaHBp06FuAGYHMt0D9Nehyx/IsQOzE9p2YBvwgta6FvNNx0+VUuv7\nrFuJ2fntnUBbpGB2ervUzEKMKNLrWwghhLAxOfUtxCiklLoPWMLZR65FWut/HfpEQoj+yBG1EEII\nYWNyjVoIIYSwMSnUQgghhI1JoRZCCCFsTAq1EEIIYWNSqIUQQggbk0IthBBC2Nj/B79UkZoGMEgX\nAAAAAElFTkSuQmCC\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Ignore numpy warning caused by seaborn\n",
- "warnings.filterwarnings('ignore', 'using a non-integer number instead of an integer')\n",
- "\n",
- "ax = sns.distplot(predict_df.query(\"status == 0\").decision_function, hist=False, label='Negatives')\n",
- "ax = sns.distplot(predict_df.query(\"status == 1\").decision_function, hist=False, label='Positives')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 31,
- "metadata": {
- "collapsed": false
- },
- "outputs": [
- {
- "data": {
- "image/png": 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4+xKrs7ludtfew+9tPCG9aDFofV60nsKmYmakTGFcwmijy/GJuO7NSiSgjSUB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\nIYQP+v/+XJzW18KoywAAAABJRU5ErkJggg==\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = sns.distplot(predict_df.query(\"status == 0\").probability, hist=False, label='Negatives')\n",
- "ax = sns.distplot(predict_df.query(\"status == 1\").probability, hist=False, label='Positives')"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.5.2"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/1.download.ipynb b/1.download.ipynb
new file mode 100644
index 0000000..b9bdff7
--- /dev/null
+++ b/1.download.ipynb
@@ -0,0 +1,137 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Download cancer-data from figshare\n",
+ "\n",
+ "The latest figshare data is available at https://doi.org/10.6084/m9.figshare.3487685."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "from urllib.request import urlretrieve\n",
+ "\n",
+ "import requests"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "# Specify the figshare article ID\n",
+ "figshare_id = 3487685"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "# Use the figshare API to retrieve article metadata\n",
+ "url = \"https://api.figshare.com/v2/articles/{}\".format(figshare_id)\n",
+ "response = requests.get(url)\n",
+ "response = response.json()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'10.6084/m9.figshare.3487685.v4'"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Show the version specific DOI\n",
+ "response['doi']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "# Make the download directory if it does not exist\n",
+ "if not os.path.exists('download'):\n",
+ " os.mkdir('download')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Downloading https://ndownloader.figshare.com/files/5864859 to `expression-matrix.tsv.bz2`\n",
+ "Downloading https://ndownloader.figshare.com/files/5864862 to `mutation-matrix.tsv.bz2`\n",
+ "Downloading https://ndownloader.figshare.com/files/5864865 to `samples.tsv`\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Download the files specified by the metadata\n",
+ "for file_info in response['files']:\n",
+ " url = file_info['download_url']\n",
+ " name = file_info['name']\n",
+ " print('Downloading {} to `{}`'.format(url, name))\n",
+ " path = os.path.join('download', name)\n",
+ " urlretrieve(url, path)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.5.2"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/2.TCGA-MLexample.ipynb b/2.TCGA-MLexample.ipynb
new file mode 100644
index 0000000..e9027ba
--- /dev/null
+++ b/2.TCGA-MLexample.ipynb
@@ -0,0 +1,995 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Create a logistic regression model to predict TP53 mutation from gene expression data in TCGA"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "import urllib\n",
+ "import random\n",
+ "import warnings\n",
+ "\n",
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns\n",
+ "from sklearn import preprocessing, grid_search\n",
+ "from sklearn.linear_model import SGDClassifier\n",
+ "from sklearn.cross_validation import train_test_split\n",
+ "from sklearn.metrics import roc_auc_score, roc_curve\n",
+ "from sklearn.pipeline import make_pipeline\n",
+ "from sklearn.preprocessing import StandardScaler\n",
+ "from sklearn.feature_selection import SelectKBest\n",
+ "from statsmodels.robust.scale import mad"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "%matplotlib inline\n",
+ "plt.style.use('seaborn-notebook')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Specify model configuration"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "# We're going to be building a 'TP53' classifier \n",
+ "GENE = '7157' # TP53"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "# Parameter Sweep for Hyperparameters\n",
+ "n_feature_kept = 500\n",
+ "param_fixed = {\n",
+ " 'loss': 'log',\n",
+ " 'penalty': 'elasticnet',\n",
+ "}\n",
+ "param_grid = {\n",
+ " 'alpha': [10 ** x for x in range(-6, 1)],\n",
+ " 'l1_ratio': [0, 0.05, 0.1, 0.2, 0.5, 0.8, 0.9, 0.95, 1],\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "*Here is some [documentation](http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html) regarding the classifier and hyperparameters*\n",
+ "\n",
+ "*Here is some [information](https://ghr.nlm.nih.gov/gene/TP53) about TP53*"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Load Data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "CPU times: user 1min 19s, sys: 3.36 s, total: 1min 23s\n",
+ "Wall time: 1min 39s\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%time\n",
+ "path = os.path.join('download', 'expression-matrix.tsv.bz2')\n",
+ "X = pd.read_table(path, index_col=0)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "CPU times: user 44.2 s, sys: 3.23 s, total: 47.4 s\n",
+ "Wall time: 47.4 s\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%time\n",
+ "path = os.path.join('download', 'mutation-matrix.tsv.bz2')\n",
+ "Y = pd.read_table(path, index_col=0)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "y = Y[GENE]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "sample_id\n",
+ "TCGA-02-0047-01 0\n",
+ "TCGA-02-0055-01 1\n",
+ "TCGA-02-2483-01 1\n",
+ "TCGA-02-2485-01 1\n",
+ "TCGA-02-2486-01 0\n",
+ "TCGA-04-1348-01 1\n",
+ "Name: 7157, dtype: int64"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# The Series now holds TP53 Mutation Status for each Sample\n",
+ "y.head(6)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0 0.645907\n",
+ "1 0.354093\n",
+ "Name: 7157, dtype: float64"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Here are the percentage of tumors with NF1\n",
+ "y.value_counts(True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Set aside 10% of the data for testing"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'Size: 20,530 features, 6,575 training samples, 731 testing samples'"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Typically, this can only be done where the number of mutations is large enough\n",
+ "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.1, random_state=0)\n",
+ "'Size: {:,} features, {:,} training samples, {:,} testing samples'.format(len(X.columns), len(X_train), len(X_test))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Median absolute deviation feature selection"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "def fs_mad(x, y):\n",
+ " \"\"\" \n",
+ " Get the median absolute deviation (MAD) for each column of x\n",
+ " \"\"\"\n",
+ " scores = mad(x) \n",
+ " return scores, np.array([np.NaN]*len(scores))\n",
+ "\n",
+ "# select the top features with the highest MAD\n",
+ "feature_select = SelectKBest(fs_mad, k=n_feature_kept)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Define pipeline and Cross validation model fitting"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "# Include loss='log' in param_grid doesn't work with pipeline somehow\n",
+ "clf = SGDClassifier(random_state=0, class_weight='balanced',\n",
+ " loss=param_fixed['loss'], penalty=param_fixed['penalty'])\n",
+ "\n",
+ "# joblib is used to cross-validate in parallel by setting `n_jobs=-1` in GridSearchCV\n",
+ "# Supress joblib warning. See https://github.com/scikit-learn/scikit-learn/issues/6370\n",
+ "warnings.filterwarnings('ignore', message='Changing the shape of non-C contiguous array')\n",
+ "clf_grid = grid_search.GridSearchCV(estimator=clf, param_grid=param_grid, n_jobs=-1, scoring='roc_auc')\n",
+ "pipeline = make_pipeline(\n",
+ " feature_select, # Feature selection\n",
+ " StandardScaler(), # Feature scaling\n",
+ " clf_grid)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "CPU times: user 13.9 s, sys: 16.4 s, total: 30.3 s\n",
+ "Wall time: 49.3 s\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%time\n",
+ "# Fit the model (the computationally intensive part)\n",
+ "pipeline.fit(X=X_train, y=y_train)\n",
+ "best_clf = clf_grid.best_estimator_\n",
+ "feature_mask = feature_select.get_support() # Get a boolean array indicating the selected features"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'alpha': 0.01, 'l1_ratio': 0.1}"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "clf_grid.best_params_"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "SGDClassifier(alpha=0.01, average=False, class_weight='balanced', epsilon=0.1,\n",
+ " eta0=0.0, fit_intercept=True, l1_ratio=0.1, learning_rate='optimal',\n",
+ " loss='log', n_iter=5, n_jobs=1, penalty='elasticnet', power_t=0.5,\n",
+ " random_state=0, shuffle=True, verbose=0, warm_start=False)"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "best_clf"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Visualize hyperparameters performance"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "def grid_scores_to_df(grid_scores):\n",
+ " \"\"\"\n",
+ " Convert a sklearn.grid_search.GridSearchCV.grid_scores_ attribute to \n",
+ " a tidy pandas DataFrame where each row is a hyperparameter-fold combinatination.\n",
+ " \"\"\"\n",
+ " rows = list()\n",
+ " for grid_score in grid_scores:\n",
+ " for fold, score in enumerate(grid_score.cv_validation_scores):\n",
+ " row = grid_score.parameters.copy()\n",
+ " row['fold'] = fold\n",
+ " row['score'] = score\n",
+ " rows.append(row)\n",
+ " df = pd.DataFrame(rows)\n",
+ " return df"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Process Mutation Matrix"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " alpha | \n",
+ " fold | \n",
+ " l1_ratio | \n",
+ " score | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 | \n",
+ " 0.000001 | \n",
+ " 0 | \n",
+ " 0.0 | \n",
+ " 0.817642 | \n",
+ "
\n",
+ " \n",
+ " 1 | \n",
+ " 0.000001 | \n",
+ " 1 | \n",
+ " 0.0 | \n",
+ " 0.871388 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " alpha fold l1_ratio score\n",
+ "0 0.000001 0 0.0 0.817642\n",
+ "1 0.000001 1 0.0 0.871388"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "cv_score_df = grid_scores_to_df(clf_grid.grid_scores_)\n",
+ "cv_score_df.head(2)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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8XD6MXcotXboTWbceM2b8eEarDLpcLj54/x2KCgu4pUcQ11/owGaz4XIfu+Ds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\nykph3tz0cTIJW7elb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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Cross-validated performance distribution\n",
+ "facet_grid = sns.factorplot(x='l1_ratio', y='score', col='alpha',\n",
+ " data=cv_score_df, kind='violin', size=4, aspect=1)\n",
+ "facet_grid.set_ylabels('AUROC');"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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CJUfzTgK8AVPgMeAD2ABbJEkaocQ66zSvQXBQKINbj8Ot/xz6jPsBgBsXbjO0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\n9+CTwV1ZPH1lsjaBV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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Cross-validated performance heatmap\n",
+ "cv_score_mat = pd.pivot_table(cv_score_df, values='score', index='l1_ratio', columns='alpha')\n",
+ "ax = sns.heatmap(cv_score_mat, annot=True, fmt='.1%')\n",
+ "ax.set_xlabel('Regularization strength multiplier (alpha)')\n",
+ "ax.set_ylabel('Elastic net mixing parameter (l1_ratio)');"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Use Optimal Hyperparameters to Output ROC Curve"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "y_pred_train = pipeline.decision_function(X_train)\n",
+ "y_pred_test = pipeline.decision_function(X_test)\n",
+ "\n",
+ "def get_threshold_metrics(y_true, y_pred):\n",
+ " roc_columns = ['fpr', 'tpr', 'threshold']\n",
+ " roc_items = zip(roc_columns, roc_curve(y_true, y_pred))\n",
+ " roc_df = pd.DataFrame.from_items(roc_items)\n",
+ " auroc = roc_auc_score(y_true, y_pred)\n",
+ " return {'auroc': auroc, 'roc_df': roc_df}\n",
+ "\n",
+ "metrics_train = get_threshold_metrics(y_train, y_pred_train)\n",
+ "metrics_test = get_threshold_metrics(y_test, y_pred_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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VkO3roMFzIiLSIEruzUAoFOKWp78i1GsjnnQ/7dPakZrqJQPdbU5ERBpOyb0Z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\n27cfHo+HQI2XPYdISUnB4/EQDDbOZdE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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Plot ROC\n",
+ "plt.figure()\n",
+ "for label, metrics in ('Training', metrics_train), ('Testing', metrics_test):\n",
+ " roc_df = metrics['roc_df']\n",
+ " plt.plot(roc_df.fpr, roc_df.tpr,\n",
+ " label='{} (AUROC = {:.1%})'.format(label, metrics['auroc']))\n",
+ "plt.xlim([0.0, 1.0])\n",
+ "plt.ylim([0.0, 1.05])\n",
+ "plt.xlabel('False Positive Rate')\n",
+ "plt.ylabel('True Positive Rate')\n",
+ "plt.title('Predicting TP53 mutation from gene expression (ROC curves)')\n",
+ "plt.legend(loc='lower right');"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## What are the classifier coefficients?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "coef_df = pd.DataFrame(best_clf.coef_.transpose(), index=X.columns[feature_mask], columns=['weight'])\n",
+ "coef_df['abs'] = coef_df['weight'].abs()\n",
+ "coef_df = coef_df.sort_values('abs', ascending=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'43.0% zero coefficients; 131 negative and 154 positive coefficients'"
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "'{:.1%} zero coefficients; {:,} negative and {:,} positive coefficients'.format(\n",
+ " (coef_df.weight == 0).mean(),\n",
+ " (coef_df.weight < 0).sum(),\n",
+ " (coef_df.weight > 0).sum()\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " weight | \n",
+ " abs | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 2525 | \n",
+ " 0.320822 | \n",
+ " 0.320822 | \n",
+ "
\n",
+ " \n",
+ " 4316 | \n",
+ " 0.316326 | \n",
+ " 0.316326 | \n",
+ "
\n",
+ " \n",
+ " 7499 | \n",
+ " -0.316097 | \n",
+ " 0.316097 | \n",
+ "
\n",
+ " \n",
+ " 3899 | \n",
+ " -0.307478 | \n",
+ " 0.307478 | \n",
+ "
\n",
+ " \n",
+ " 81607 | \n",
+ " -0.299384 | \n",
+ " 0.299384 | \n",
+ "
\n",
+ " \n",
+ " 23120 | \n",
+ " 0.295043 | \n",
+ " 0.295043 | \n",
+ "
\n",
+ " \n",
+ " 57512 | \n",
+ " 0.290986 | \n",
+ " 0.290986 | \n",
+ "
\n",
+ " \n",
+ " 1907 | \n",
+ " -0.278645 | \n",
+ " 0.278645 | \n",
+ "
\n",
+ " \n",
+ " 642587 | \n",
+ " -0.274429 | \n",
+ " 0.274429 | \n",
+ "
\n",
+ " \n",
+ " 79679 | \n",
+ " 0.257771 | \n",
+ " 0.257771 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " weight abs\n",
+ "2525 0.320822 0.320822\n",
+ "4316 0.316326 0.316326\n",
+ "7499 -0.316097 0.316097\n",
+ "3899 -0.307478 0.307478\n",
+ "81607 -0.299384 0.299384\n",
+ "23120 0.295043 0.295043\n",
+ "57512 0.290986 0.290986\n",
+ "1907 -0.278645 0.278645\n",
+ "642587 -0.274429 0.274429\n",
+ "79679 0.257771 0.257771"
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "coef_df.head(10)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The results are not surprising. TP53 is a transcription modulator and when it mutated in a tumor, the cell goes haywire. This makes finding a transcriptional signature fairly easy. Also, the genes that the classifier uses is interesting, but not necessarily novel.\n",
+ "\n",
+ "1. TP53 is a [transcription factor](https://en.wikipedia.org/wiki/Transcription_factor \"TF wiki\") that regulates many genes including EDA2R. Studies have linked EDA2R (or XEDAR) to [increased survival in colon cancer patients](http://www.ncbi.nlm.nih.gov/pubmed/19543321) and [losing hair as a result of chemotherapy](http://onlinelibrary.wiley.com/doi/10.1016/j.febslet.2010.04.058/full)\n",
+ "2. SPATA18 is a gene associated with spermatogenesis and is a transcription factor for TP53. It's association with TP53 was [recently discovered](http://www.ncbi.nlm.nih.gov/pubmed/21300779) in 2011.\n",
+ "3. C6orf138 (or [PTCHD4](http://www.genecards.org/cgi-bin/carddisp.pl?gene=PTCHD4)) is also a transcriptional target for TP53 and was only recently discovered in [2014 to repress hedgehog signalling](http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239647/).\n",
+ "4. The list goes on and includes several other TP53 targets..."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Investigate the predictions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {
+ "collapsed": false,
+ "scrolled": false
+ },
+ "outputs": [],
+ "source": [
+ "predict_df = pd.DataFrame.from_items([\n",
+ " ('sample_id', X.index),\n",
+ " ('testing', X.index.isin(X_test.index).astype(int)),\n",
+ " ('status', y),\n",
+ " ('decision_function', pipeline.decision_function(X)),\n",
+ " ('probability', pipeline.predict_proba(X)[:, 1]),\n",
+ "])\n",
+ "predict_df['probability_str'] = predict_df['probability'].apply('{:.1%}'.format)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " sample_id | \n",
+ " testing | \n",
+ " status | \n",
+ " decision_function | \n",
+ " probability | \n",
+ " probability_str | \n",
+ "
\n",
+ " \n",
+ " sample_id | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " TCGA-70-6722-01 | \n",
+ " TCGA-70-6722-01 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 5.010120 | \n",
+ " 0.993374 | \n",
+ " 99.3% | \n",
+ "
\n",
+ " \n",
+ " TCGA-EI-6513-01 | \n",
+ " TCGA-EI-6513-01 | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 4.873791 | \n",
+ " 0.992414 | \n",
+ " 99.2% | \n",
+ "
\n",
+ " \n",
+ " TCGA-49-6743-01 | \n",
+ " TCGA-49-6743-01 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 4.604212 | \n",
+ " 0.990090 | \n",
+ " 99.0% | \n",
+ "
\n",
+ " \n",
+ " TCGA-46-3765-01 | \n",
+ " TCGA-46-3765-01 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 4.497534 | \n",
+ " 0.988986 | \n",
+ " 98.9% | \n",
+ "
\n",
+ " \n",
+ " TCGA-55-6978-01 | \n",
+ " TCGA-55-6978-01 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 4.464442 | \n",
+ " 0.988620 | \n",
+ " 98.9% | \n",
+ "
\n",
+ " \n",
+ " TCGA-13-0897-01 | \n",
+ " TCGA-13-0897-01 | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 4.152361 | \n",
+ " 0.984516 | \n",
+ " 98.5% | \n",
+ "
\n",
+ " \n",
+ " TCGA-L5-A4OH-01 | \n",
+ " TCGA-L5-A4OH-01 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 4.112075 | \n",
+ " 0.983890 | \n",
+ " 98.4% | \n",
+ "
\n",
+ " \n",
+ " TCGA-23-1027-01 | \n",
+ " TCGA-23-1027-01 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 3.929980 | \n",
+ " 0.980734 | \n",
+ " 98.1% | \n",
+ "
\n",
+ " \n",
+ " TCGA-AO-A0JE-01 | \n",
+ " TCGA-AO-A0JE-01 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 3.877245 | \n",
+ " 0.979712 | \n",
+ " 98.0% | \n",
+ "
\n",
+ " \n",
+ " TCGA-B6-A0I1-01 | \n",
+ " TCGA-B6-A0I1-01 | \n",
+ " 0 | \n",
+ " 0 | \n",
+ " 3.857307 | \n",
+ " 0.979312 | \n",
+ " 97.9% | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " sample_id testing status decision_function \\\n",
+ "sample_id \n",
+ "TCGA-70-6722-01 TCGA-70-6722-01 0 0 5.010120 \n",
+ "TCGA-EI-6513-01 TCGA-EI-6513-01 1 0 4.873791 \n",
+ "TCGA-49-6743-01 TCGA-49-6743-01 0 0 4.604212 \n",
+ "TCGA-46-3765-01 TCGA-46-3765-01 0 0 4.497534 \n",
+ "TCGA-55-6978-01 TCGA-55-6978-01 0 0 4.464442 \n",
+ "TCGA-13-0897-01 TCGA-13-0897-01 1 0 4.152361 \n",
+ "TCGA-L5-A4OH-01 TCGA-L5-A4OH-01 0 0 4.112075 \n",
+ "TCGA-23-1027-01 TCGA-23-1027-01 0 0 3.929980 \n",
+ "TCGA-AO-A0JE-01 TCGA-AO-A0JE-01 0 0 3.877245 \n",
+ "TCGA-B6-A0I1-01 TCGA-B6-A0I1-01 0 0 3.857307 \n",
+ "\n",
+ " probability probability_str \n",
+ "sample_id \n",
+ "TCGA-70-6722-01 0.993374 99.3% \n",
+ "TCGA-EI-6513-01 0.992414 99.2% \n",
+ "TCGA-49-6743-01 0.990090 99.0% \n",
+ "TCGA-46-3765-01 0.988986 98.9% \n",
+ "TCGA-55-6978-01 0.988620 98.9% \n",
+ "TCGA-13-0897-01 0.984516 98.5% \n",
+ "TCGA-L5-A4OH-01 0.983890 98.4% \n",
+ "TCGA-23-1027-01 0.980734 98.1% \n",
+ "TCGA-AO-A0JE-01 0.979712 98.0% \n",
+ "TCGA-B6-A0I1-01 0.979312 97.9% "
+ ]
+ },
+ "execution_count": 26,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Top predictions amongst negatives (potential hidden responders)\n",
+ "predict_df.sort_values('decision_function', ascending=False).query(\"status == 0\").head(10)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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l5nC0u4qhieFglCYEIKEthBAAuMf6qOo5TnHyArISXBd8vjVZK/DqXg50HJ75w0IESEJb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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Ignore numpy warning caused by seaborn\n",
+ "warnings.filterwarnings('ignore', 'using a non-integer number instead of an integer')\n",
+ "\n",
+ "ax = sns.distplot(predict_df.query(\"status == 0\").decision_function, hist=False, label='Negatives')\n",
+ "ax = sns.distplot(predict_df.query(\"status == 1\").decision_function, hist=False, label='Positives')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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mt1CUm05j2wDBoBSKCZFoAsEA9X2NFKUXkG3PNDqcacla6MiQBB1BQV3HM+iN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\nShxSCVpRFEVR4tD/B3iZv+373aq9AAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "ax = sns.distplot(predict_df.query(\"status == 0\").probability, hist=False, label='Negatives')\n",
+ "ax = sns.distplot(predict_df.query(\"status == 1\").probability, hist=False, label='Positives')"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.5.2"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/algorithms/SGDClassifier-master.ipynb b/algorithms/SGDClassifier-master.ipynb
index 3bb820a..f0dd4d7 100644
--- a/algorithms/SGDClassifier-master.ipynb
+++ b/algorithms/SGDClassifier-master.ipynb
@@ -31,7 +31,7 @@
"from sklearn.pipeline import make_pipeline\n",
"from sklearn.preprocessing import StandardScaler\n",
"from sklearn.feature_selection import SelectKBest\n",
- "from statsmodels.robust.scale import mad\n"
+ "from statsmodels.robust.scale import mad"
]
},
{
@@ -62,7 +62,7 @@
"outputs": [],
"source": [
"# We're going to be building a 'TP53' classifier \n",
- "GENE = 'TP53'"
+ "GENE = '7157' # TP53"
]
},
{
@@ -107,59 +107,25 @@
"metadata": {
"collapsed": false
},
- "outputs": [],
- "source": [
- "if not os.path.exists('data'):\n",
- " os.makedirs('data')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "url_to_path = {\n",
- " # X matrix\n",
- " 'https://ndownloader.figshare.com/files/5514386':\n",
- " os.path.join('data', 'expression.tsv.bz2'),\n",
- " # Y Matrix\n",
- " 'https://ndownloader.figshare.com/files/5514389':\n",
- " os.path.join('data', 'mutation-matrix.tsv.bz2'),\n",
- "}\n",
- "\n",
- "for url, path in url_to_path.items():\n",
- " if not os.path.exists(path):\n",
- " urllib.request.urlretrieve(url, path)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {
- "collapsed": false
- },
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "CPU times: user 1min 31s, sys: 1.84 s, total: 1min 33s\n",
- "Wall time: 1min 34s\n"
+ "CPU times: user 1min 10s, sys: 908 ms, total: 1min 10s\n",
+ "Wall time: 1min 10s\n"
]
}
],
"source": [
"%%time\n",
- "path = os.path.join('data', 'expression.tsv.bz2')\n",
+ "path = os.path.join('..', 'download', 'expression-matrix.tsv.bz2')\n",
"X = pd.read_table(path, index_col=0)"
]
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 6,
"metadata": {
"collapsed": false
},
@@ -168,20 +134,20 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "CPU times: user 1min 17s, sys: 2.08 s, total: 1min 19s\n",
- "Wall time: 1min 19s\n"
+ "CPU times: user 41.2 s, sys: 3.01 s, total: 44.2 s\n",
+ "Wall time: 44.3 s\n"
]
}
],
"source": [
"%%time\n",
- "path = os.path.join('data', 'mutation-matrix.tsv.bz2')\n",
+ "path = os.path.join('..', 'download', 'mutation-matrix.tsv.bz2')\n",
"Y = pd.read_table(path, index_col=0)"
]
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 7,
"metadata": {
"collapsed": false
},
@@ -192,7 +158,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 8,
"metadata": {
"collapsed": false
},
@@ -207,10 +173,10 @@
"TCGA-02-2485-01 1\n",
"TCGA-02-2486-01 0\n",
"TCGA-04-1348-01 1\n",
- "Name: TP53, dtype: int64"
+ "Name: 7157, dtype: int64"
]
},
- "execution_count": 10,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -222,7 +188,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 9,
"metadata": {
"collapsed": false
},
@@ -230,12 +196,12 @@
{
"data": {
"text/plain": [
- "0 0.655334\n",
- "1 0.344666\n",
- "Name: TP53, dtype: float64"
+ "0 0.645907\n",
+ "1 0.354093\n",
+ "Name: 7157, dtype: float64"
]
},
- "execution_count": 11,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
@@ -254,7 +220,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 10,
"metadata": {
"collapsed": false
},
@@ -262,10 +228,10 @@
{
"data": {
"text/plain": [
- "'Size: 20,501 features, 6,935 training samples, 771 testing samples'"
+ "'Size: 20,530 features, 6,575 training samples, 731 testing samples'"
]
},
- "execution_count": 13,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
@@ -285,7 +251,7 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 11,
"metadata": {
"collapsed": false
},
@@ -311,7 +277,7 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 12,
"metadata": {
"collapsed": false
},
@@ -333,7 +299,7 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 13,
"metadata": {
"collapsed": false
},
@@ -342,8 +308,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "CPU times: user 13.3 s, sys: 1.12 s, total: 14.4 s\n",
- "Wall time: 34.4 s\n"
+ "CPU times: user 13.9 s, sys: 14.4 s, total: 28.3 s\n",
+ "Wall time: 45.4 s\n"
]
}
],
@@ -357,7 +323,7 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 14,
"metadata": {
"collapsed": false
},
@@ -365,10 +331,10 @@
{
"data": {
"text/plain": [
- "{'alpha': 0.1, 'l1_ratio': 0}"
+ "{'alpha': 0.01, 'l1_ratio': 0.1}"
]
},
- "execution_count": 17,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
@@ -379,7 +345,7 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 15,
"metadata": {
"collapsed": false
},
@@ -387,13 +353,13 @@
{
"data": {
"text/plain": [
- "SGDClassifier(alpha=0.1, average=False, class_weight='balanced', epsilon=0.1,\n",
- " eta0=0.0, fit_intercept=True, l1_ratio=0, learning_rate='optimal',\n",
+ "SGDClassifier(alpha=0.01, average=False, class_weight='balanced', epsilon=0.1,\n",
+ " eta0=0.0, fit_intercept=True, l1_ratio=0.1, learning_rate='optimal',\n",
" loss='log', n_iter=5, n_jobs=1, penalty='elasticnet', power_t=0.5,\n",
" random_state=0, shuffle=True, verbose=0, warm_start=False)"
]
},
- "execution_count": 18,
+ "execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
@@ -411,7 +377,7 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 16,
"metadata": {
"collapsed": false
},
@@ -442,7 +408,7 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 17,
"metadata": {
"collapsed": false
},
@@ -467,14 +433,14 @@
" 0.000001 | \n",
" 0 | \n",
" 0.0 | \n",
- " 0.810166 | \n",
+ " 0.817642 | \n",
" \n",
" \n",
" 1 | \n",
" 0.000001 | \n",
" 1 | \n",
" 0.0 | \n",
- " 0.820123 | \n",
+ " 0.871388 | \n",
"
\n",
" \n",
"\n",
@@ -482,11 +448,11 @@
],
"text/plain": [
" alpha fold l1_ratio score\n",
- "0 0.000001 0 0.0 0.810166\n",
- "1 0.000001 1 0.0 0.820123"
+ "0 0.000001 0 0.0 0.817642\n",
+ "1 0.000001 1 0.0 0.871388"
]
},
- "execution_count": 20,
+ "execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
@@ -498,16 +464,16 @@
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": 18,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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qe2+Dwe649akbN66nu7sbEhIAWL363bjEHSq2bXP77Tfxy1/+jOuuu9r1LSgG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4XuoPJDL3Kks2TUOBaXlPHMotUUORRnrGNtzaw/foic7FzN9gcAr/fCFvDvt/zDsmbNzdhsNnbv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\n6u/KcF4FezgU7cs+GJAkiZKSUTR5PXR2K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8XD6MXcotXboTWbceM2b8eEarDLpcLj54/x2KCgu4pUcQ11/owGaz4XIfu+Ds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\nykph3tz0cTIJW7elb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"text/plain": [
- ""
+ ""
]
},
"metadata": {},
@@ -523,16 +489,16 @@
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 19,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
- "image/png": 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ALK2UXKrUKM/axb8D8MfupL1JycXAh7mEYG5hRv1mNdm39XCa5fKh2h2d2Tp9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\nEJWklL1f3d0XE7DtKAHbjgKQ49McFKpUiDpda+O/YjcXj12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7TOj+1uunptRMh73muX8E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\nQohIYAra8ljuQC8p5VlTLXc6W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CJUfzTgK8AVPgMeAD2ABbJEkaocQ66zSvQXBQKINbj8Ot/xz6jPsBgBsXbjO0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\nJFMAmALD5JwkT4nf7gAAAABJRU5ErkJggg==\n",
"text/plain": [
- ""
+ ""
]
},
"metadata": {},
@@ -556,7 +522,7 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 20,
"metadata": {
"collapsed": false
},
@@ -578,16 +544,16 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
- "image/png": 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PnAxGo9CJiCQvjVDXyn389S88+/6P4eenTNy5SeVoMhgRkbYj1rfCyXbYXFZV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\nU/nmm7k8/PDj+Hw+jj32SCZPPgEgPA7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53UP37j3YuHED06fnlFnev7/T5nXEiJEcOnSQ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\nY8ndGGOM8RhL7sYYY4zH/AeAFoEfRkZfKQAAAABJRU5ErkJggg==\n",
+ "image/png": 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VkO3roMFzIiLSIEruzUAoFOKWp78i1GsjnnQ/7dPakZrqJQPdbU5ERBpOyb0Z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\nSUVORK5CYII=\n",
"text/plain": [
- ""
+ ""
]
},
"metadata": {},
@@ -618,7 +584,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 22,
"metadata": {
"collapsed": false
},
@@ -631,7 +597,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 23,
"metadata": {
"collapsed": false
},
@@ -639,10 +605,10 @@
{
"data": {
"text/plain": [
- "'0.0% zero coefficients; 246 negative and 254 positive coefficients'"
+ "'43.0% zero coefficients; 131 negative and 154 positive coefficients'"
]
},
- "execution_count": 26,
+ "execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
@@ -657,7 +623,7 @@
},
{
"cell_type": "code",
- "execution_count": 27,
+ "execution_count": 24,
"metadata": {
"collapsed": false
},
@@ -676,74 +642,74 @@
" \n",
" \n",
" \n",
- " GPR158 | \n",
- " 0.154793 | \n",
- " 0.154793 | \n",
+ " 2525 | \n",
+ " 0.320822 | \n",
+ " 0.320822 | \n",
"
\n",
" \n",
- " AFF3 | \n",
- " -0.116980 | \n",
- " 0.116980 | \n",
+ " 4316 | \n",
+ " 0.316326 | \n",
+ " 0.316326 | \n",
"
\n",
" \n",
- " IGF2BP3 | \n",
- " 0.116407 | \n",
- " 0.116407 | \n",
+ " 7499 | \n",
+ " -0.316097 | \n",
+ " 0.316097 | \n",
"
\n",
" \n",
- " CLIC6 | \n",
- " -0.112586 | \n",
- " 0.112586 | \n",
+ " 3899 | \n",
+ " -0.307478 | \n",
+ " 0.307478 | \n",
"
\n",
" \n",
- " HES2 | \n",
- " -0.107409 | \n",
- " 0.107409 | \n",
+ " 81607 | \n",
+ " -0.299384 | \n",
+ " 0.299384 | \n",
"
\n",
" \n",
- " MMP7 | \n",
- " 0.106901 | \n",
- " 0.106901 | \n",
+ " 23120 | \n",
+ " 0.295043 | \n",
+ " 0.295043 | \n",
"
\n",
" \n",
- " LY6K | \n",
- " 0.105119 | \n",
- " 0.105119 | \n",
+ " 57512 | \n",
+ " 0.290986 | \n",
+ " 0.290986 | \n",
"
\n",
" \n",
- " COL11A1 | \n",
- " 0.103425 | \n",
- " 0.103425 | \n",
+ " 1907 | \n",
+ " -0.278645 | \n",
+ " 0.278645 | \n",
"
\n",
" \n",
- " SLC44A5 | \n",
- " 0.102179 | \n",
- " 0.102179 | \n",
+ " 642587 | \n",
+ " -0.274429 | \n",
+ " 0.274429 | \n",
"
\n",
" \n",
- " VTCN1 | \n",
- " 0.102030 | \n",
- " 0.102030 | \n",
+ " 79679 | \n",
+ " 0.257771 | \n",
+ " 0.257771 | \n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " weight abs\n",
- "GPR158 0.154793 0.154793\n",
- "AFF3 -0.116980 0.116980\n",
- "IGF2BP3 0.116407 0.116407\n",
- "CLIC6 -0.112586 0.112586\n",
- "HES2 -0.107409 0.107409\n",
- "MMP7 0.106901 0.106901\n",
- "LY6K 0.105119 0.105119\n",
- "COL11A1 0.103425 0.103425\n",
- "SLC44A5 0.102179 0.102179\n",
- "VTCN1 0.102030 0.102030"
+ " weight abs\n",
+ "2525 0.320822 0.320822\n",
+ "4316 0.316326 0.316326\n",
+ "7499 -0.316097 0.316097\n",
+ "3899 -0.307478 0.307478\n",
+ "81607 -0.299384 0.299384\n",
+ "23120 0.295043 0.295043\n",
+ "57512 0.290986 0.290986\n",
+ "1907 -0.278645 0.278645\n",
+ "642587 -0.274429 0.274429\n",
+ "79679 0.257771 0.257771"
]
},
- "execution_count": 27,
+ "execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
@@ -773,7 +739,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 25,
"metadata": {
"collapsed": false,
"scrolled": false
@@ -792,7 +758,7 @@
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 26,
"metadata": {
"collapsed": false
},
@@ -824,94 +790,94 @@
" \n",
" \n",
" \n",
- " TCGA-E2-A574-01 | \n",
- " TCGA-E2-A574-01 | \n",
+ " TCGA-70-6722-01 | \n",
+ " TCGA-70-6722-01 | \n",
" 0 | \n",
" 0 | \n",
- " 3.333710 | \n",
- " 0.965567 | \n",
- " 96.6% | \n",
+ " 5.010120 | \n",
+ " 0.993374 | \n",
+ " 99.3% | \n",
+ "
\n",
+ " \n",
+ " TCGA-EI-6513-01 | \n",
+ " TCGA-EI-6513-01 | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 4.873791 | \n",
+ " 0.992414 | \n",
+ " 99.2% | \n",
"
\n",
" \n",
- " TCGA-CQ-A4CI-01 | \n",
- " TCGA-CQ-A4CI-01 | \n",
+ " TCGA-49-6743-01 | \n",
+ " TCGA-49-6743-01 | \n",
" 0 | \n",
" 0 | \n",
- " 3.229784 | \n",
- " 0.961940 | \n",
- " 96.2% | \n",
+ " 4.604212 | \n",
+ " 0.990090 | \n",
+ " 99.0% | \n",
"
\n",
" \n",
" TCGA-46-3765-01 | \n",
" TCGA-46-3765-01 | \n",
" 0 | \n",
" 0 | \n",
- " 3.182513 | \n",
- " 0.960171 | \n",
- " 96.0% | \n",
+ " 4.497534 | \n",
+ " 0.988986 | \n",
+ " 98.9% | \n",
"
\n",
" \n",
- " TCGA-B6-A0I1-01 | \n",
- " TCGA-B6-A0I1-01 | \n",
+ " TCGA-55-6978-01 | \n",
+ " TCGA-55-6978-01 | \n",
" 0 | \n",
" 0 | \n",
- " 2.980778 | \n",
- " 0.951698 | \n",
- " 95.2% | \n",
+ " 4.464442 | \n",
+ " 0.988620 | \n",
+ " 98.9% | \n",
"
\n",
" \n",
- " TCGA-49-6743-01 | \n",
- " TCGA-49-6743-01 | \n",
+ " TCGA-13-0897-01 | \n",
+ " TCGA-13-0897-01 | \n",
" 1 | \n",
" 0 | \n",
- " 2.965390 | \n",
- " 0.950986 | \n",
- " 95.1% | \n",
+ " 4.152361 | \n",
+ " 0.984516 | \n",
+ " 98.5% | \n",
"
\n",
" \n",
- " TCGA-CV-7261-01 | \n",
- " TCGA-CV-7261-01 | \n",
+ " TCGA-L5-A4OH-01 | \n",
+ " TCGA-L5-A4OH-01 | \n",
" 0 | \n",
" 0 | \n",
- " 2.946212 | \n",
- " 0.950084 | \n",
- " 95.0% | \n",
+ " 4.112075 | \n",
+ " 0.983890 | \n",
+ " 98.4% | \n",
"
\n",
" \n",
- " TCGA-CV-5441-01 | \n",
- " TCGA-CV-5441-01 | \n",
- " 1 | \n",
+ " TCGA-23-1027-01 | \n",
+ " TCGA-23-1027-01 | \n",
" 0 | \n",
- " 2.925501 | \n",
- " 0.949093 | \n",
- " 94.9% | \n",
- "
\n",
- " \n",
- " TCGA-13-0897-01 | \n",
- " TCGA-13-0897-01 | \n",
- " 1 | \n",
" 0 | \n",
- " 2.863213 | \n",
- " 0.945998 | \n",
- " 94.6% | \n",
+ " 3.929980 | \n",
+ " 0.980734 | \n",
+ " 98.1% | \n",
"
\n",
" \n",
- " TCGA-GV-A40E-01 | \n",
- " TCGA-GV-A40E-01 | \n",
- " 1 | \n",
+ " TCGA-AO-A0JE-01 | \n",
+ " TCGA-AO-A0JE-01 | \n",
+ " 0 | \n",
" 0 | \n",
- " 2.829705 | \n",
- " 0.944260 | \n",
- " 94.4% | \n",
+ " 3.877245 | \n",
+ " 0.979712 | \n",
+ " 98.0% | \n",
"
\n",
" \n",
- " TCGA-B6-A0I6-01 | \n",
- " TCGA-B6-A0I6-01 | \n",
+ " TCGA-B6-A0I1-01 | \n",
+ " TCGA-B6-A0I1-01 | \n",
" 0 | \n",
" 0 | \n",
- " 2.733874 | \n",
- " 0.938996 | \n",
- " 93.9% | \n",
+ " 3.857307 | \n",
+ " 0.979312 | \n",
+ " 97.9% | \n",
"
\n",
" \n",
"\n",
@@ -920,32 +886,32 @@
"text/plain": [
" sample_id testing status decision_function \\\n",
"sample_id \n",
- "TCGA-E2-A574-01 TCGA-E2-A574-01 0 0 3.333710 \n",
- "TCGA-CQ-A4CI-01 TCGA-CQ-A4CI-01 0 0 3.229784 \n",
- "TCGA-46-3765-01 TCGA-46-3765-01 0 0 3.182513 \n",
- "TCGA-B6-A0I1-01 TCGA-B6-A0I1-01 0 0 2.980778 \n",
- "TCGA-49-6743-01 TCGA-49-6743-01 1 0 2.965390 \n",
- "TCGA-CV-7261-01 TCGA-CV-7261-01 0 0 2.946212 \n",
- "TCGA-CV-5441-01 TCGA-CV-5441-01 1 0 2.925501 \n",
- "TCGA-13-0897-01 TCGA-13-0897-01 1 0 2.863213 \n",
- "TCGA-GV-A40E-01 TCGA-GV-A40E-01 1 0 2.829705 \n",
- "TCGA-B6-A0I6-01 TCGA-B6-A0I6-01 0 0 2.733874 \n",
+ "TCGA-70-6722-01 TCGA-70-6722-01 0 0 5.010120 \n",
+ "TCGA-EI-6513-01 TCGA-EI-6513-01 1 0 4.873791 \n",
+ "TCGA-49-6743-01 TCGA-49-6743-01 0 0 4.604212 \n",
+ "TCGA-46-3765-01 TCGA-46-3765-01 0 0 4.497534 \n",
+ "TCGA-55-6978-01 TCGA-55-6978-01 0 0 4.464442 \n",
+ "TCGA-13-0897-01 TCGA-13-0897-01 1 0 4.152361 \n",
+ "TCGA-L5-A4OH-01 TCGA-L5-A4OH-01 0 0 4.112075 \n",
+ "TCGA-23-1027-01 TCGA-23-1027-01 0 0 3.929980 \n",
+ "TCGA-AO-A0JE-01 TCGA-AO-A0JE-01 0 0 3.877245 \n",
+ "TCGA-B6-A0I1-01 TCGA-B6-A0I1-01 0 0 3.857307 \n",
"\n",
" probability probability_str \n",
"sample_id \n",
- "TCGA-E2-A574-01 0.965567 96.6% \n",
- "TCGA-CQ-A4CI-01 0.961940 96.2% \n",
- "TCGA-46-3765-01 0.960171 96.0% \n",
- "TCGA-B6-A0I1-01 0.951698 95.2% \n",
- "TCGA-49-6743-01 0.950986 95.1% \n",
- "TCGA-CV-7261-01 0.950084 95.0% \n",
- "TCGA-CV-5441-01 0.949093 94.9% \n",
- "TCGA-13-0897-01 0.945998 94.6% \n",
- "TCGA-GV-A40E-01 0.944260 94.4% \n",
- "TCGA-B6-A0I6-01 0.938996 93.9% "
+ "TCGA-70-6722-01 0.993374 99.3% \n",
+ "TCGA-EI-6513-01 0.992414 99.2% \n",
+ "TCGA-49-6743-01 0.990090 99.0% \n",
+ "TCGA-46-3765-01 0.988986 98.9% \n",
+ "TCGA-55-6978-01 0.988620 98.9% \n",
+ "TCGA-13-0897-01 0.984516 98.5% \n",
+ "TCGA-L5-A4OH-01 0.983890 98.4% \n",
+ "TCGA-23-1027-01 0.980734 98.1% \n",
+ "TCGA-AO-A0JE-01 0.979712 98.0% \n",
+ "TCGA-B6-A0I1-01 0.979312 97.9% "
]
},
- "execution_count": 29,
+ "execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
@@ -957,16 +923,16 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": 27,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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h6dBxi28cntzhEE0X1lDL0Pdk5Q3PU8vwt5gqSdQi6jz1+mlauwa4cXUhM3PC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\nAAAAAElFTkSuQmCC\n",
+ "image/png": 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l5nC0u4qhieFglCYEIKEthBAAuMf6qOo5TnHyArISXBd8vjVZK/DqXg50HJ75w0IESEJb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\n",
"text/plain": [
- ""
+ ""
]
},
"metadata": {},
@@ -983,16 +949,16 @@
},
{
"cell_type": "code",
- "execution_count": 31,
+ "execution_count": 28,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
- "image/png": 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4+xKrs7ludtfew+9tPCG9aDFofV60nsKmYmakTGFcwmijy/GJuO7NSiSgjSUB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\nqjqZsDsxm4zkZ0ZRtCaOvIwo/Mymj9T+EdtdflT+M2oHGlj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pwM+AQsAOfEnTtCen3L4F+HfADzytadqXohNqchjx+mnpGmJxafbE7k6zl5ftwJ1pp+60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\nShxSCVpRFEVR4tD/B3iZv+373aq9AAAAAElFTkSuQmCC\n",
"text/plain": [
- ""
+ ""
]
},
"metadata": {},
diff --git a/algorithms/scripts/SGDClassifier-master.py b/algorithms/scripts/SGDClassifier-master.py
index 5bdc057..0b26f4e 100644
--- a/algorithms/scripts/SGDClassifier-master.py
+++ b/algorithms/scripts/SGDClassifier-master.py
@@ -35,7 +35,7 @@
# In[3]:
# We're going to be building a 'TP53' classifier
-GENE = 'TP53'
+GENE = '7157' # TP53
# In[4]:
@@ -60,48 +60,26 @@
# In[5]:
-if not os.path.exists('data'):
- os.makedirs('data')
+get_ipython().run_cell_magic('time', '', "path = os.path.join('..', 'download', 'expression-matrix.tsv.bz2')\nX = pd.read_table(path, index_col=0)")
# In[6]:
-url_to_path = {
- # X matrix
- 'https://ndownloader.figshare.com/files/5514386':
- os.path.join('data', 'expression.tsv.bz2'),
- # Y Matrix
- 'https://ndownloader.figshare.com/files/5514389':
- os.path.join('data', 'mutation-matrix.tsv.bz2'),
-}
-
-for url, path in url_to_path.items():
- if not os.path.exists(path):
- urllib.request.urlretrieve(url, path)
+get_ipython().run_cell_magic('time', '', "path = os.path.join('..', 'download', 'mutation-matrix.tsv.bz2')\nY = pd.read_table(path, index_col=0)")
# In[7]:
-get_ipython().run_cell_magic('time', '', "path = os.path.join('data', 'expression.tsv.bz2')\nX = pd.read_table(path, index_col=0)")
-
-
-# In[8]:
-
-get_ipython().run_cell_magic('time', '', "path = os.path.join('data', 'mutation-matrix.tsv.bz2')\nY = pd.read_table(path, index_col=0)")
-
-
-# In[9]:
-
y = Y[GENE]
-# In[10]:
+# In[8]:
# The Series now holds TP53 Mutation Status for each Sample
y.head(6)
-# In[11]:
+# In[9]:
# Here are the percentage of tumors with NF1
y.value_counts(True)
@@ -109,7 +87,7 @@
# ## Set aside 10% of the data for testing
-# In[13]:
+# In[10]:
# Typically, this can only be done where the number of mutations is large enough
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.1, random_state=0)
@@ -118,7 +96,7 @@
# ## Median absolute deviation feature selection
-# In[14]:
+# In[11]:
def fs_mad(x, y):
"""
@@ -133,7 +111,7 @@ def fs_mad(x, y):
# ## Define pipeline and Cross validation model fitting
-# In[15]:
+# In[12]:
# Include loss='log' in param_grid doesn't work with pipeline somehow
clf = SGDClassifier(random_state=0, class_weight='balanced',
@@ -149,24 +127,24 @@ def fs_mad(x, y):
clf_grid)
-# In[16]:
+# In[13]:
get_ipython().run_cell_magic('time', '', '# Fit the model (the computationally intensive part)\npipeline.fit(X=X_train, y=y_train)\nbest_clf = clf_grid.best_estimator_\nfeature_mask = feature_select.get_support() # Get a boolean array indicating the selected features')
-# In[17]:
+# In[14]:
clf_grid.best_params_
-# In[18]:
+# In[15]:
best_clf
# ## Visualize hyperparameters performance
-# In[19]:
+# In[16]:
def grid_scores_to_df(grid_scores):
"""
@@ -186,13 +164,13 @@ def grid_scores_to_df(grid_scores):
# ## Process Mutation Matrix
-# In[20]:
+# In[17]:
cv_score_df = grid_scores_to_df(clf_grid.grid_scores_)
cv_score_df.head(2)
-# In[21]:
+# In[18]:
# Cross-validated performance distribution
facet_grid = sns.factorplot(x='l1_ratio', y='score', col='alpha',
@@ -200,7 +178,7 @@ def grid_scores_to_df(grid_scores):
facet_grid.set_ylabels('AUROC');
-# In[22]:
+# In[19]:
# Cross-validated performance heatmap
cv_score_mat = pd.pivot_table(cv_score_df, values='score', index='l1_ratio', columns='alpha')
@@ -211,7 +189,7 @@ def grid_scores_to_df(grid_scores):
# ## Use Optimal Hyperparameters to Output ROC Curve
-# In[23]:
+# In[20]:
y_pred_train = pipeline.decision_function(X_train)
y_pred_test = pipeline.decision_function(X_test)
@@ -227,7 +205,7 @@ def get_threshold_metrics(y_true, y_pred):
metrics_test = get_threshold_metrics(y_test, y_pred_test)
-# In[24]:
+# In[21]:
# Plot ROC
plt.figure()
@@ -245,14 +223,14 @@ def get_threshold_metrics(y_true, y_pred):
# ## What are the classifier coefficients?
-# In[25]:
+# In[22]:
coef_df = pd.DataFrame(best_clf.coef_.transpose(), index=X.columns[feature_mask], columns=['weight'])
coef_df['abs'] = coef_df['weight'].abs()
coef_df = coef_df.sort_values('abs', ascending=False)
-# In[26]:
+# In[23]:
'{:.1%} zero coefficients; {:,} negative and {:,} positive coefficients'.format(
(coef_df.weight == 0).mean(),
@@ -261,7 +239,7 @@ def get_threshold_metrics(y_true, y_pred):
)
-# In[27]:
+# In[24]:
coef_df.head(10)
@@ -275,7 +253,7 @@ def get_threshold_metrics(y_true, y_pred):
# ## Investigate the predictions
-# In[28]:
+# In[25]:
predict_df = pd.DataFrame.from_items([
('sample_id', X.index),
@@ -287,13 +265,13 @@ def get_threshold_metrics(y_true, y_pred):
predict_df['probability_str'] = predict_df['probability'].apply('{:.1%}'.format)
-# In[29]:
+# In[26]:
# Top predictions amongst negatives (potential hidden responders)
predict_df.sort_values('decision_function', ascending=False).query("status == 0").head(10)
-# In[30]:
+# In[27]:
# Ignore numpy warning caused by seaborn
warnings.filterwarnings('ignore', 'using a non-integer number instead of an integer')
@@ -302,7 +280,7 @@ def get_threshold_metrics(y_true, y_pred):
ax = sns.distplot(predict_df.query("status == 1").decision_function, hist=False, label='Positives')
-# In[31]:
+# In[28]:
ax = sns.distplot(predict_df.query("status == 0").probability, hist=False, label='Negatives')
ax = sns.distplot(predict_df.query("status == 1").probability, hist=False, label='Positives')
diff --git a/environment.yml b/environment.yml
index 60fae22..bdff148 100644
--- a/environment.yml
+++ b/environment.yml
@@ -5,6 +5,7 @@ dependencies:
- numpy=1.11.1
- pandas=0.18.1
- python=3.5.2
+- requests=2.11.1
- scikit-learn=0.17.1
- scipy=0.17.1
- seaborn=0.7.0
diff --git a/execute.sh b/execute.sh
new file mode 100644
index 0000000..27793b5
--- /dev/null
+++ b/execute.sh
@@ -0,0 +1,7 @@
+#!/bin/bash
+
+# Exit on error
+set -o errexit
+
+jupyter nbconvert --inplace --execute --ExecutePreprocessor.timeout=-1 *.ipynb
+jupyter nbconvert --to=script --FilesWriter.build_directory=scripts *.ipynb
diff --git a/scripts/1.download.py b/scripts/1.download.py
new file mode 100644
index 0000000..f878d02
--- /dev/null
+++ b/scripts/1.download.py
@@ -0,0 +1,52 @@
+
+# coding: utf-8
+
+# # Download cancer-data from figshare
+#
+# The latest figshare data is available at https://doi.org/10.6084/m9.figshare.3487685.
+
+# In[1]:
+
+import os
+from urllib.request import urlretrieve
+
+import requests
+
+
+# In[2]:
+
+# Specify the figshare article ID
+figshare_id = 3487685
+
+
+# In[3]:
+
+# Use the figshare API to retrieve article metadata
+url = "https://api.figshare.com/v2/articles/{}".format(figshare_id)
+response = requests.get(url)
+response = response.json()
+
+
+# In[4]:
+
+# Show the version specific DOI
+response['doi']
+
+
+# In[5]:
+
+# Make the download directory if it does not exist
+if not os.path.exists('download'):
+ os.mkdir('download')
+
+
+# In[6]:
+
+# Download the files specified by the metadata
+for file_info in response['files']:
+ url = file_info['download_url']
+ name = file_info['name']
+ print('Downloading {} to `{}`'.format(url, name))
+ path = os.path.join('download', name)
+ urlretrieve(url, path)
+
diff --git a/scripts/1.TCGA-MLexample.py b/scripts/2.TCGA-MLexample.py
similarity index 93%
rename from scripts/1.TCGA-MLexample.py
rename to scripts/2.TCGA-MLexample.py
index 5bdc057..c92bc04 100644
--- a/scripts/1.TCGA-MLexample.py
+++ b/scripts/2.TCGA-MLexample.py
@@ -35,7 +35,7 @@
# In[3]:
# We're going to be building a 'TP53' classifier
-GENE = 'TP53'
+GENE = '7157' # TP53
# In[4]:
@@ -60,48 +60,26 @@
# In[5]:
-if not os.path.exists('data'):
- os.makedirs('data')
+get_ipython().run_cell_magic('time', '', "path = os.path.join('download', 'expression-matrix.tsv.bz2')\nX = pd.read_table(path, index_col=0)")
# In[6]:
-url_to_path = {
- # X matrix
- 'https://ndownloader.figshare.com/files/5514386':
- os.path.join('data', 'expression.tsv.bz2'),
- # Y Matrix
- 'https://ndownloader.figshare.com/files/5514389':
- os.path.join('data', 'mutation-matrix.tsv.bz2'),
-}
-
-for url, path in url_to_path.items():
- if not os.path.exists(path):
- urllib.request.urlretrieve(url, path)
+get_ipython().run_cell_magic('time', '', "path = os.path.join('download', 'mutation-matrix.tsv.bz2')\nY = pd.read_table(path, index_col=0)")
# In[7]:
-get_ipython().run_cell_magic('time', '', "path = os.path.join('data', 'expression.tsv.bz2')\nX = pd.read_table(path, index_col=0)")
-
-
-# In[8]:
-
-get_ipython().run_cell_magic('time', '', "path = os.path.join('data', 'mutation-matrix.tsv.bz2')\nY = pd.read_table(path, index_col=0)")
-
-
-# In[9]:
-
y = Y[GENE]
-# In[10]:
+# In[8]:
# The Series now holds TP53 Mutation Status for each Sample
y.head(6)
-# In[11]:
+# In[9]:
# Here are the percentage of tumors with NF1
y.value_counts(True)
@@ -109,7 +87,7 @@
# ## Set aside 10% of the data for testing
-# In[13]:
+# In[10]:
# Typically, this can only be done where the number of mutations is large enough
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.1, random_state=0)
@@ -118,7 +96,7 @@
# ## Median absolute deviation feature selection
-# In[14]:
+# In[11]:
def fs_mad(x, y):
"""
@@ -133,7 +111,7 @@ def fs_mad(x, y):
# ## Define pipeline and Cross validation model fitting
-# In[15]:
+# In[12]:
# Include loss='log' in param_grid doesn't work with pipeline somehow
clf = SGDClassifier(random_state=0, class_weight='balanced',
@@ -149,24 +127,24 @@ def fs_mad(x, y):
clf_grid)
-# In[16]:
+# In[13]:
get_ipython().run_cell_magic('time', '', '# Fit the model (the computationally intensive part)\npipeline.fit(X=X_train, y=y_train)\nbest_clf = clf_grid.best_estimator_\nfeature_mask = feature_select.get_support() # Get a boolean array indicating the selected features')
-# In[17]:
+# In[14]:
clf_grid.best_params_
-# In[18]:
+# In[15]:
best_clf
# ## Visualize hyperparameters performance
-# In[19]:
+# In[16]:
def grid_scores_to_df(grid_scores):
"""
@@ -186,13 +164,13 @@ def grid_scores_to_df(grid_scores):
# ## Process Mutation Matrix
-# In[20]:
+# In[17]:
cv_score_df = grid_scores_to_df(clf_grid.grid_scores_)
cv_score_df.head(2)
-# In[21]:
+# In[18]:
# Cross-validated performance distribution
facet_grid = sns.factorplot(x='l1_ratio', y='score', col='alpha',
@@ -200,7 +178,7 @@ def grid_scores_to_df(grid_scores):
facet_grid.set_ylabels('AUROC');
-# In[22]:
+# In[19]:
# Cross-validated performance heatmap
cv_score_mat = pd.pivot_table(cv_score_df, values='score', index='l1_ratio', columns='alpha')
@@ -211,7 +189,7 @@ def grid_scores_to_df(grid_scores):
# ## Use Optimal Hyperparameters to Output ROC Curve
-# In[23]:
+# In[20]:
y_pred_train = pipeline.decision_function(X_train)
y_pred_test = pipeline.decision_function(X_test)
@@ -227,7 +205,7 @@ def get_threshold_metrics(y_true, y_pred):
metrics_test = get_threshold_metrics(y_test, y_pred_test)
-# In[24]:
+# In[21]:
# Plot ROC
plt.figure()
@@ -245,14 +223,14 @@ def get_threshold_metrics(y_true, y_pred):
# ## What are the classifier coefficients?
-# In[25]:
+# In[22]:
coef_df = pd.DataFrame(best_clf.coef_.transpose(), index=X.columns[feature_mask], columns=['weight'])
coef_df['abs'] = coef_df['weight'].abs()
coef_df = coef_df.sort_values('abs', ascending=False)
-# In[26]:
+# In[23]:
'{:.1%} zero coefficients; {:,} negative and {:,} positive coefficients'.format(
(coef_df.weight == 0).mean(),
@@ -261,7 +239,7 @@ def get_threshold_metrics(y_true, y_pred):
)
-# In[27]:
+# In[24]:
coef_df.head(10)
@@ -275,7 +253,7 @@ def get_threshold_metrics(y_true, y_pred):
# ## Investigate the predictions
-# In[28]:
+# In[25]:
predict_df = pd.DataFrame.from_items([
('sample_id', X.index),
@@ -287,13 +265,13 @@ def get_threshold_metrics(y_true, y_pred):
predict_df['probability_str'] = predict_df['probability'].apply('{:.1%}'.format)
-# In[29]:
+# In[26]:
# Top predictions amongst negatives (potential hidden responders)
predict_df.sort_values('decision_function', ascending=False).query("status == 0").head(10)
-# In[30]:
+# In[27]:
# Ignore numpy warning caused by seaborn
warnings.filterwarnings('ignore', 'using a non-integer number instead of an integer')
@@ -302,7 +280,7 @@ def get_threshold_metrics(y_true, y_pred):
ax = sns.distplot(predict_df.query("status == 1").decision_function, hist=False, label='Positives')
-# In[31]:
+# In[28]:
ax = sns.distplot(predict_df.query("status == 0").probability, hist=False, label='Negatives')
ax = sns.distplot(predict_df.query("status == 1").probability, hist=False, label='Positives')