{ "metadata": { "name": "", "signature": "sha256:d66d5201115d02b199da9b5aff7456b8294362ca903cc37d4015dd8a81b3746a" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "

HNSCC HPV- Cohort Exploration of Subtypes in the Context of Clinical Variables

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we are looking at the TP53-3p subtyping within the context of clinical variables, one at a time. For multivariate analysis see the [Multivariate_Modeling](../Analysis_Notebooks/Multivariate_Modeling.ipynb) notebook." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "####Import Data and Packages \n", "For full list of data and packages imported see the [Imports](../Analysis_Notebooks/Imports.ipynb) notebook." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import NotebookImport\n", "from Imports import *" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "importing IPython notebook from Imports.ipynb\n", "Populating the interactive namespace from numpy and matplotlib" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "changing to source dirctory" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "populating namespace with data" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 1 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Recreate Subtypes" ] }, { "cell_type": "code", "collapsed": false, "input": [ "p53_mut = mut.features.ix['TP53'].ix[keepers_o].dropna()\n", "del_3p = cn.features.ix['Deletion'].ix['3p14.2'].ix[0].ix[keepers_o].dropna()\n", "\n", "combo = combine(p53_mut==1, del_3p==-1)\n", "combo = combo.map({'Lesion':'b', 'neither':'a', 'TP53':'c', 'both':'d'})\n", "two_hit = combo=='d'" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Compare with Clinical Data" ] }, { "cell_type": "code", "collapsed": false, "input": [ "c2 = colors_st\n", "def st_plot(f):\n", " '''\n", " Global funciton for plotting subtypes in the background of a \n", " clinical variable.\n", " '''\n", " n_unique = len(f.unique())\n", " fig, axs = subplots(1,n_unique, figsize=(n_unique*3+1,3))\n", " for i,g in enumerate(sorted(f.unique())):\n", " ax = axs[i]\n", " draw_survival_curve(two_hit.ix[true_index(f==g)], surv, ax=ax, \n", " colors={0:c2[1], 1: c2[0]})\n", " ax.get_legend().set_visible(False)\n", " ax.set_title(g)\n", " prettify_ax(ax)\n", " axs[-1].legend(loc='upper right', frameon=False)\n", " fig.tight_layout()\n", " print 'Counts for plot below:\\n'\n", " print pd.crosstab(f, two_hit).T\n", " print '\\n'" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "def surv_models(f):\n", " lr = get_cox_ph_ms(surv, '_' + two_hit.astype(str), [age, old, f], interactions=None)['LR']\n", " print 'Likelihood ratio of full model compared to background: {0:.1e}\\n'.format(lr)\n", " \n", " print 'Full model with covariate and age:'\n", " get_cox_ph(surv, '_' + two_hit.astype(str), [age, old, f], print_desc=True, interactions=None);" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Old Age" ] }, { "cell_type": "code", "collapsed": false, "input": [ "clinical_processed = clinical.processed" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(clinical_processed.old_age.dropna())\n", "plt.gca().legend().set_visible(False)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "old_age Age < 75 Age > 75\n", "TP53 \n", "False 59 12\n", "True 161 18\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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ADHgFaF18gGZfM3gN3cUb6K6+QHPsWnOGb+8KDI+Amm1dfIBm31nvfml2zsBw7wH0Tm41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\nug0bNqxwcXEpWrJkyS9UxoYQah3Mawt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"text": [ "" ] } ], "prompt_number": 6 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Smoking Status" ] }, { "cell_type": "code", "collapsed": false, "input": [ "smoker = clinical_processed.smoker.dropna()\n", "smoker = smoker.replace({'current reformed smoker for < or = 15 years': 'reformed <= 15y',\n", " 'current reformed smoker for > 15 years': 'reformed >= 15y'})" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 10 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(smoker)\n", "plt.gca().legend().set_visible(False)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "smoker current smoker lifelong non-smoker reformed <= 15y reformed >= 15y\n", "TP53 \n", "False 18 18 12 22\n", "True 66 26 60 18\n", "\n", "\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "/cellar/users/agross/anaconda2/lib/python2.7/site-packages/pandas-0.14.0.dev-py2.7-linux-x86_64.egg/pandas/core/common.py:1847: RuntimeWarning: tp_compare didn't return -1 or -2 for exception\n", " sample = v[:min(3,len(v))]\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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X7l1Dwn5vE09sT8WXDhDP2Z0EPu1Lt5dkPiRZ9FFiZVKyDAwlWdxp4jk3IWH3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\na9fhMqP7prw5TW+j+5YUFFKcSwetRvdFt2gAAAA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"text": [ "" ] } ], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(clinical_processed.smoker_inferred.dropna())\n", "plt.gca().legend().set_visible(False)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "smoker_inferred 0 1\n", "TP53 \n", "False 41 30\n", "True 47 132\n", "\n", "[2 rows x 2 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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ktZw5LUTg5/X5Re+Kfboe4kfEubzSNV3F+UXv+jo8ClKyn8kPHz4cR48exezZ\ns1FQUIB169bhN7/5DfR6fbXbKZVKrFu3DsuWLUNMTAwKCwuxdOlSpKWlOX/5d+7cGStWrMDUqVMR\nFRWFvLw8vPfee3J/BCK6iTd5zZx2de0WVdw0378wVSLvxQU+ioqCnezX5C9dugS1Wu3Vtn379sXB\ngwdd1k2ZMgVTpkxxLiclJXEqzQClv2sAlC0jEdYpDsqoFlCEa6Ab2LtBjqVJ6AJVq8gq3wuLaws4\nHLXeV9it7SAcDujv6u+yTlGPSw8h2nBoB/TyaltVmyiou7nOaKi95yFU/GT2Op6aeJvXzGl3Ic0N\nEGYLHEaTc52w2nwYEQUz2UbX6/V6lJWVQa1WV/lkKkmSUFFRIcehahSoo3CJ/A3zWn7WS0VQNo/A\nz8l/wYXlac71DXFXBJFsZ/KHD1+d8vPEiatTdQZDMhI1dcxr+alaVt3DRNQQZLsm3759ewDAyJEj\n8f7778NoNLo8pjIuLk6uQxFRI2FeN5yQCNfxDBn6nihYvMJDayLvyD4ZzpYtW7BhwwZ8+eWXaNas\nGSZOnIiJEyeiU6dOch6mWsHSrUfkL5jXDSND39PlwTUKnfbq4Dwimche5K8RQiA9PR1ffPEFPv30\nU+j1emRkZDTEodwE45cBkT9gXsurYPEKnPvzm3BUXB+E12LqQ7j1w0U+jIqCSYNMhgMAJ0+exH//\n+1/8+OOPKC4uRteuXRvqUETUSJjX8oqePQ3ddq1zWXd55Xp225NsZD+TnzFjBrZs2eJ8hOT48eNx\nzz33IDQ0VM7DVCsYf/ET+RLzuuFUZB3DkV/92uW2Tnbbk1xkv0/eYrHg7bffxvDhwxv1C4CIGg7z\nuuGEdYxF65lTcPH9z5zX52+8Tm8vN+KnJ19AxzVv+SpECmCyd9dfunQJ9913H78IiIII87rhhOi0\niP37K25n7tdG2wubHSVbvwcACIcDpd/thsPccBMfUXCRvcgrlUp89dVXcu+WiHyIed04FOEa59+O\nciNyn5+PrHaD4DBbrq4zVeLE8MkwnzrrqxApwMjeXe9wODBu3Dj069fP5ZGSkiRh06ZNch+OiBoB\n87pxRP32sauD7hzXxx44ymueUfDivz6Dfkg/qDvFNWB0FIhkL/Jjx47F2LFj3dZXNSUmEQUG5nXj\naPn4eFz56lu0evIRnEtd4nJtPl3qAIUuHKhi8GHR6i8Q2jaaRZ7cNNh98r4UrKNwiZqyppDXpqPZ\nODX+GSRjDlDSAAAT4ElEQVQc3QbAfbKcmyl0WsSkJuPK5h0wnzyDxJ93IfvB/0Xb11+ApmtHj9tR\n0yH7NXmNRlPlKzw8XO5DEVEjYV43jrAO7dDps+XO5ZjU5Ktn7x44yo04l7oEAGDJPQ8AMOfkQvxy\nDb8qtuISiDo8hZECm+zd9ceOHXP+LYRAbm4uFi5ciPvvv1/uQxFRI2FeNw6FRg1Nj87O5ejZ09Dy\nyQk4GHcHbkmZiXOpf3e7Ru8oN6Ls//4LALWaROdw95Hovv8rhLaJkjd48kuN0l1fVFSEHj164Pz5\n8w19KABNo1uPyNeY143DdqUUB+PuwK+uHITdWIH9+p7oeWgLjg5McuvKV+i0CLu1HW5NewPhid2q\n3F9mm/4s8k2I7GfyVdm3bx/MvK+TKKgwrxtHiC4c8Zv+5bY+JjXZbXCeo9wI08HjONJrtOcdShIu\nvPMR2r76u4YIl/yM7EVerVa7jLh1OBwQQuCNN96Q+1BE1EiY174jKZXQD+5z9W+FAsoWzSCpwxA9\nexqiZ08DAKQrOwL2Wl5nFwLn/7IUSoMO6u7xUHfuAHXH9g0VPvmYrN31VqsV586dcy7n5ubiu+++\nw4gRIzB48OBqt83IyMATTzyB06dP46677sLKlSsRGRlZZdtt27Zh7NixqKio+v7RptqtR9QQmNf+\n72D8MJhP/VSnbRQ6LSJGDUHkpAcQ+dB9DRMY+Zxso+sPHjyI2NhYPP/884iLi8PmzZsxevRoZGVl\nYdy4cdi6davHbe12O5KSkjBz5kzk5+cjKioKycnJVbYtLy/HjBkz5AqbiKrBvA4MbRfMAQD0EznQ\n3NYVPTI3oZ/IcXu1W/SScxtHuRHFX2zDlS++8VXY1BiETEaOHCleffVV53J8fLz44IMPhBBCbN26\nVdxxxx0et/3+++9Fly5dnMu5ublCp9MJi8Xi1vaZZ54Rc+bMEWq12uP+ZPxYRE0a8zowOBwO8SPi\nhBBCHLrtXmHMPOqx7Y9SB/Ej4pyvdHUXj20p8Ml2Jr9nzx7MmjULAFBQUIDTp08jKSkJAHD33Xcj\nKyvL47aZmZlITEx0Lrdt2xYajQbZ2dku7Xbs2IGjR49i+vTpcoVNRNVgXgeOxHN7AABdtq2Eunsn\nj+0UunAotNfvvReVZufDcG52adV/cPK+x2WPlRqPbAPvVCoVlMqru9uzZw+6d+/unOO6vLy82mtp\nZWVlMBgMLusMBgNKSkqcyxUVFXj22Wexfv36WsWTmprq/Hvo0KEYOnRoLT8JEV3DvA4MkiQh9JbW\nAABVVMtq26q7dETnje/jYMehLo+2PZe6xDmQ75rKI9ko372/YYKmRiFbkb/jjjvwxhtvIDk5GR99\n9BGGDRvmfG/58uXo16+fx20NBgNKS0td1pWWlro8CCMlJQUTJ05EfHw8cnJyaoznxi8DIvIO8zr4\n9EjfAODqLXi5c/4G2OwArhb6DH1PxKQmuxV7CmBy9fvn5OSIfv36CUmSRNeuXUVubq4QQojExEQR\nGRkp9u/f73HbnTt3uly7+/nnn92u3fXt21eo1WqhVqtFWFiYkCRJaDQaceDAAbf9yfixiJo05nVw\ny056WqSru7hco9+n6+F8P3fO30RGRIIPI6T6kn3GO6PRCK1W61z+8ssvMXjwYLRo0cLjNjabDR07\ndsSf/vQnPPzww5g1axZsNhtWrVpVZfuzZ8+ia9euMJlMVb7PW22I5MW8Dk6nHpoBhS4cxeu31upB\nOLU5wxd2O36e9Re0X/aqnKGSl2R/QM2NXwQAcP/991f7RQAASqUS69atw7JlyxATE4PCwkIsXboU\naWlpiI+Pd2svhOAjLokaEfM6ODUbNwrRf/hf9Ck7DIVO67HdjQ/CqYlwOHDxndVyhUj1xEfNElFA\nYF43rILFK9ymya1KTWf1DqsV+8O741fGIzjz6O/Q/u25sF0qRuXx07Cev4DISQ9AGeE6ILPgzfcR\n9cyjUISFAQDOL/gnop+fBkkh+3lok8MiT0QBgXnd+PJeXIDzr//Dbb1Cp0WfssNVbnOtyPe+kuV8\nmI7paDaKPt0EY3oWum7/BGFxbV222R9xG277+Qdn8U9XdkLfyuOQlI3yeJWgxn9BIiLySFKHQVIq\n3R6Eky51qHa7zOh+AH+U+RyLPBERVSly0gMI69wBrf7nYQBAhr5njd3519z83Ht/U/LNDxAWK5qN\nHlZz4wDG7noiCgjMa9+r7XX7xlSXkf83yp+/HI7yCrSd/4cGisw/sMgTUUBgXgcGh9WKjNDOjXrM\n6sYIeNJUijyHLhIRkbwUCih04TW3k4k/9Sz4G57JE1FAYF4HBuFwoOjjL9DswVENPrq+psF/deFt\nt7+/45k8ERHJRlIo0GLyg41yrOom8Kmrukz4E0hY5ImISHaSSolmD46CMqoFND27IHLirxH9/DSE\nNDO4tW2T8qxzIhwAiPnL74BaTIQTk5ose6H3J+nhXXDqyfqNGWB3PREFBOY1yenGgXfedvs3dBd/\nutQB0ISiX8UJr/fBM3kiImrSvO0NCIQufhZ5IiJqciLuG4rm40YBqF+3v7918d+M3fVEFBCY1+RP\n5BzZXxv9RI5X2/FMnoiIqI7kHPDXkFjkiYiI6kjukf0Nhd31RBQQmNfU1HB0PREREXnEIk9EROSn\nVK1b1Wt7vyryGRkZSExMhE6nw5gxY1BUVOTWZuXKlYiPj4fBYMCDDz6I8+fP+yBSIqoN5jSR9/qJ\nHPTK+aFe+/CbIm+325GUlISZM2ciPz8fUVFRSE5OdmmTlZWF5ORkrF27FufPn0dMTAymT5/uo4iJ\nqDrMaSLf85uBdzt37sS0adNw/PhxAEBeXh66deuGoqIiqFQqAMCCBQtw6tQpvPvuuwCAM2fOoHfv\n3igpKXHZFwfoEPmenDkNMK+JvFH9c/waUWZmJhITE53Lbdu2hUajQXZ2Nrp37w4AmDBhAiRJcrY5\nePAgWrdu3eixElHNmNNEvuc3Rb6srAwGg+vTiQwGg8sv+vbt2zv/TktLQ3JyMpYvX17l/lJTU51/\nDx06FEOHDpU1XiKqntw5DTCvierKb4q8wWBAaWmpy7rS0lJERES4rMvLy8OUKVOQm5uLNWvWYNSo\nUVXu78YvAyJqfHLnNMC8Jqorvxl416tXL2RlZTmXc3NzYTKZEB8f71xXVFSEIUOGoG/fvjhy5Ei1\nXwZE5FvMaSLf85siP3DgQJhMJqxYsQJXrlxBSkoKxo4d6xygAwDLly/H4MGDsWDBAoSGhvowWiKq\nCXOayPf8psgrlUqsW7cOy5YtQ0xMDAoLC7F06VKkpaU5f/nv27cPa9asgUqlcr74xUDkn5jTRL7n\nN7fQyYm32hAFH+Y1Ud35zZk8ERERyYtFnoiIKEixyBMREQUpFnkiIqIgxSJPREQUpFjkiYiIghSL\nPBERUZBikSciIgpSLPJERERBikWeiIgoSLHIExERBSkWeSIioiDFIk9ERBSkWOSJiIiCFIs8ERFR\nkGKRJyIiClIs8kREREGKRZ6IiChIscgTEREFKb8p8hkZGUhMTIROp8OYMWNQVFTk1mbr1q3o1KkT\n9Ho9HnvsMZjNZh9E6r3t27f7OoQqMa66YVy1x7z2HcZVN8Eal18UebvdjqSkJMycORP5+fmIiopC\ncnKyS5uioiJMmjQJS5YswdmzZ3HhwgXMmzfPRxF7J1j/EzUUxlU3/hYX89q3GFfdBGtcflHkd+3a\nBY1Gg6eeegoGgwFz587F559/DqvV6myzceNG9O/fH2PGjEFkZCRSUlKwZs0aH0ZNRNVhXhP5nl8U\n+czMTCQmJjqX27ZtC41Gg+zsbI9tevfujVOnTqGioqJRYyWi2mFeE/kB4Qdee+018dRTT7ms69ix\no9i1a5dzedq0aWLevHkubZRKpcjPz3fbHwC++OKrmldjYF7zxVfjvTxRwg8YDAaUlpa6rCstLUVE\nRITHNkajEXa73aXNNVe/D4jIl5jXRL7nF931vXr1QlZWlnM5NzcXJpMJ8fHxHtvs378fHTt2RHh4\neKPGSkS1w7wm8j2/KPIDBw6EyWTCihUrcOXKFaSkpGDs2LFQqVTONqNHj0Z6ejo2btyIy5cvY+7c\nuZgwYYIPoyai6jCvifxAvS66ySg9PV0kJCSI8PBwce+994rLly+Lf//736JTp07ONps2bRIdO3YU\nWq1WTJ48WVRWVrrsY9++feK2224TWq1WjB49Wly+fLmxP0aNRo8eLfbs2ePrMIQQQmzZskX07NlT\nhIeHi2HDhonjx4/7OiQhhBCff/65iIuLEzqdTowYMUKcOXPG1yG5OHz4sAgNDRWFhYW+DkUIIcSd\nd94p1Gq18/Xkk0/6OiSnppDX/pTTQjCvvRWsee03Rb6+bDabiI2NFStWrBAlJSXi8ccfF48++qiv\nw3Ky2Wxiw4YNQqVSib179/o6HFFQUCAMBoPYtm2bqKysFPPnzxcJCQm+DksUFhY64zIajeL3v/+9\nGDFihK/DcrLZbGLw4MFCoVD4zZdBu3bthN1u93UYDcKf89rfcloI5rW3gjmvg6bIf//996JLly7O\n5dzcXKHT6YTFYvFhVNf16NFDKJVKoVAo/OIL4ZNPPhEjR450LlutVqFQKERxcbEPoxJi3bp1YtSo\nUc7lI0eOiBYtWvgwIlcLFiwQc+bMEZIk+cWXQUVFhctZcbDx57z2t5wWgnntrWDOa7+4Ji+H2tyT\n60uHDx+G1WpFbGysr0MBAAwdOhTLly93Lh8+fBhhYWEwGAw+jApISkrCli1bAABWqxVpaWkYNGiQ\nT2O65uTJk1i1ahVSU1N9HYrTmTNnYLFY0KdPH7Ro0QIPP/wwLly44OuwZOPPee1vOQ0wr70R7Hkd\nNEW+rKzM7T+ywWBASUmJjyLyb61bt3aOct60aRNGjx6NP//5z1AofP9fQpIkbNq0CRqNBosXL8aU\nKVN8HRIcDgeeeuopLFu2DGFhYb4Ox6m4uBjx8fFIS0vDmTNnoNPpMHXqVF+HJRvmdd0wr+umSeS1\nLP0BfmDZsmXikUcecVnXqlUrceTIER9FVLW4uDi/6dorLi4WDz/8sGjdurX46KOPfB2OG7vdLj77\n7DMRFhYmCgoKfBrL0qVLnRO7OBwOIUmSz2OqysWLF4UkSaK8vNzXocgiEPLan3JaCOZ1XTSFvPb9\nzzuZ1OaeXLrOYrFg5MiRUKvVyM7OxqRJk3wdEgDgn//8J5YuXQoAUCgUGD9+PCIjI5Gfn+/TuHbs\n2IGVK1dCo9E47+GOi4vDhg0bfBrXxo0bsXPnTueyzWZDSEiIX52V1Afzum6Y13XTFPI6aIp8be7J\npevWrFkDtVqNtLQ06PV6X4fjFBsbi0WLFuHw4cMwm814//33ERISgu7du/s0rrVr16KyshImkwkm\nkwkAcPbsWYwdO9ancV24cAEzZsxATk4OysrKMGfOHCQlJUGp9IvJLOuNeV03zOu6aRJ53QA9Cz5T\n1T25/sZfuvaee+45oVAohFKpdL5UKpX4+eeffR2amD9/vrjllluEXq8XQ4cOFZmZmb4OyY0/3Woz\nZ84c0aJFC6HT6cT48eP98v99ffh7XvtLTgvBvK6vYMxrSQhOCE1ERBSMgqa7noiIiFyxyBMREQUp\nFnkiIqIgxSJPREQUpFjkqVZmzpyJO++802WdyWRCbGws3nnnHR9FRUT1wbwOfizyVCuvvfYasrOz\nsW7dOue6RYsWITo6GtOnT/dhZETkLeZ18GORp1oxGAxYuHAhXnjhBVitVpw/fx6LFy/G8uXL8etf\n/xrh4eHo1KkT9uzZ49zmD3/4A1q3bg2tVotx48ahvLwcAPD444/jxRdfREJCAhYvXox9+/ahd+/e\n0Gg06N27Nw4ePOirj0nUpDCvmwBZ796noHfXXXeJRYsWiSeeeEI8/fTTYsSIEeKll14SRqNRfPXV\nVyImJkZYrVaxZcsW0a9fP3H58mVRVFQk+vfvL5YtWyaEEGLq1KkiNjZWHDt2TAghRJ8+fcT69euF\nzWYTb775phg+fLgvPyJRk8O8Dl7BMfclNZrly5djyJAhCAsLw/79+9GjRw9s3boVCoUCY8aMQXx8\nPL7//nv06tULn376KSIiIpCbmwutVouioiIAV59GNXnyZHTt2hUAUF5ejgMHDqBXr1547rnn8Pjj\nj/vwExI1Pczr4MXueqqTHj16YMSIEZg+fTpyc3NRUlICrVYLjUYDjUaD3bt3Iy8vD5WVlXj00UfR\npUsXPPvssyguLnbZT0REhPPvjz/+GFlZWUhMTESPHj2wefPmxv5YRE0a8zp48Uye6kyr1SI8PBwt\nW7ZEy5YtUVhY6HwvOzsbrVq1wrPPPothw4Zh7ty5AODxWcgmkwn5+fnYsGED7HY71q9fj8mTJ2Pc\nuHFQq9WN8nmIiHkdrHgmT1679dZbERMTg7feegtmsxm7du3C7bffjpKSEpjNZphMJlitVnz99df4\n8ssvUVlZCQAQNzwuQZIkTJo0Cd9++y0kSYJWq0Xz5s35RUDkI8zr4MIiT/Xy6aefYu3atWjevDkm\nT56Mt99+G+3bt8fLL7+MjRs3onnz5vjggw+wePFivPXWWzh06BAkSYIkSQAAtVqNDz/8EM888wx0\nOh1eeOEFfPzxxz7+VERNG/M6ePApdEREREGKZ/JERERBikWeiIgoSLHIExERBSkWeSIioiDFIk9E\nRBSkWOSJiIiCFIs8ERFRkGKRJyIiClIs8kREREGKRZ6IiChIscgTEREFKRZ5IiKiIMUiT0REFKRY\n5ImIiIIUizwREVGQYpEnIiIKUizyREREQer/AScktXMxizQsAAAAAElFTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 16 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Show Survival Associations in Never-Smokers Under 75" ] }, { "cell_type": "code", "collapsed": false, "input": [ "pts = ti(smoker != 'lifelong non-smoker').intersection(ti(clinical_processed.old_age=='Age < 75'))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 17 }, { "cell_type": "code", "collapsed": false, "input": [ "c = combine(two_hit.ix[pts], mut.features.ix['MUC5B'])\n", "c = c.replace(['neither','MUC5B'], 'TP53-3p neg.')\n", "c = c.replace(['TP53'], 'TP53-3p alt.')\n", "c = c.replace(['both'], 'TP53-3p, MUC5B')\n", "survival_and_stats(c, surv, colors=colors_st, order=[1,0,2])" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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zJoYPH45p06bBYDBgzZo1Ypndu3fjlVdewY4dO9CmTRvExMTg0qVL+Omnn4rV5wiz64GK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\nIYQQE/V/0L86I19cUSwAAAAASUVORK5CYII=\n", "text": [ "" ] } ], "prompt_number": 18 }, { "cell_type": "code", "collapsed": false, "input": [ "c = combine(two_hit.ix[pts], mirna.features.ix['binary'].ix['hsa-mir-548k'])\n", "c = c.replace(['neither','hsa-mir-548k'], 'TP53-3p neg.')\n", "c = c.replace(['TP53'], 'TP53-3p alt.')\n", "c = c.replace(['both'], 'TP53-3p, mir-548k')\n", "survival_and_stats(c, surv, colors=colors_st)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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PegDI3H3+wQsbWzDHUuwldmjtbI+WChmcZCXtlnbN5BCJjBcnEYkAH1fHBovD1UGGlgoZ\n7O1KvlZbOEqhtK96IZWakknE8FQ2zCI+teXhbA+HChbCAQBnezu0VFjH0JTSQYLmjtX//bybyWEn\nqnw1SBcTLIZUH5xdb8O0Wi06duyIJUuWYMKECViwYAG0Wi02bdoklPnpp5/w/PPPY/fu3ejWrRui\noqJw9epVfPvtt+Xqs4bZ9XVxWt4J+qKSiYliJwUe+XxS5YX/6sa3pXXviaj+uHY91ZpEIsH27dux\natUqeHp6IiMjAzExMdiwYYPQmn/66afx9ttvY8yYMWjevDmuXLmCdevWWTjyxsVtQm/huT6/oFzr\n3shf3fhERObAljyZjK225IuO7sD5x8KF14F/bC5J5FV01ysmR5gjNCKyEnX9fmWSJ5Ox1SQPGN+i\n1nXsU/DdXrLcbfFvu4XZ9cLMezDJE1HtcDEcIgsSOymEVfKyv/+52vJlEz7H6YmooXBMnsgEPKPC\nHrzQP7gjlUjuDJHsr1nRlY3Vc5yeiBoIkzyRCVR29zlZ98GQtOsqPK8q0RMRmRrH5MlkbHlMHjAe\nly9V3S1o2W1PRDXBS+iILKyi29RWewvasi17dtsTkYkxyROZiGdUGMSO5VcCrOq2teW68NltT0Qm\nxCRPZCIe4bPhf3w75N0fqfF95aX+QVBMfNNom+bS8YYIj4hsEJM8kRmcdu6G2yvWV16gTGueXfZE\nZCpM8kQmJG3tDo/XSybZlR2jr25sXtZ98IMX7LInIhPh7HoyGVufXf+w2yvW42bUJ0Zj8lV14xvN\ntK8IZ98T2SzOridqZDzCZ6NX3oWaH1DVjW0Azr4nolpjkidqJKpcLKcUu/KJqBa4dj1RIyH1D6q0\nK75sV77m0nHo7qbCzqMDYNBD2rmvuUIkoiaGSZ6oKZDIhFa8+vwhiGQOELu4waDTWjgwImrM2F1P\n1ARw9j0R1QWTPFETwBn1RFQX7K4naoIMhbnQXDwCAND+ecJ4Jy+1I6K/sCVP1FRUN/O+FC+1I6K/\nMMkTmVGVS9tWo0aX2JXiuD0RgSvekQlxxbuKnXbuJqx6J3ZS1G6BnEoUfv8JJO0fhUGnhX3PYcL2\nspfaKSZH1Ps8RNQ4cMU7okbKMypMeF7VbWeJiEyNSZ6ogXmEzzZ5nQ5/mwqJX29OriOiKjHJE5nZ\naeduuP5yFNRpt+pch1jZAmJHZ4jlTpWWKfjmA96bnsjGMckTmcHDt529s2YT8k+cNf2Jyk7M4yx7\nIpvHJE9kBp5RYUaJHlpdg5yn3Ax8zrInsmlM8k2cXC6v8uHo6GjpEAl1uO1sHUn9g6CY+GaNy+vz\ns2F46IeAQauBPi+rwvKl+wzFhdDlZUOfm/lgX7EK+sLcWsdc2xiIqOa44l0Td+nSpSr3i0SiKvef\nPn0aM2bMwLVr1zBkyBBs3LgRzZs3Nypz6tQpvPTSS/jjjz/Qp08f/N///R/atm1b79htXdKUBVBf\nv9kgE/PKKntZneCvVfG0aZchC/gb7Ny9hV36nLtQ/74H8qdnlTusdJ+kYyB0GTegz74Nx5H/BABo\n0/6E/m4a7PuPrFV8xSd2QtZ9MOxa+Tw4T24m1Cd/hHz4C7Wqi4iMsSXfxPn4+AiPFi1aQCwWC4/i\n4mI8++yzlR6r0+kwduxYzJ8/H+np6XB3d0dYWJhRmZycHIwcORKvvPIKsrOzMWjQIMyYMaOh35bV\nKttlb1BrcDPqk4Y5UQ3uS8/xeiLrxyRvJT799FO4urqiffv28PX1ha+vL7p27Vpli/vYsWOQy+WY\nNWsWlEoloqOj8f3330Oj0QhlduzYgX79+uHZZ5+FRCLBwoUL8cEHH5jjLVmlh8fmG+q6+Rqtjsfx\neiKrxxXvrESbNm2wbds2iMVirFu3Dp9//jkWLlwIPz8/zJkzp8JjVq1ahSNHjmDr1q3CNnd3d8TF\nxaFLly4AgDlz5kCr1eL8+fO4fPkyBg0ahHXr1qF169bl6uOKdzX3u6i98LyPIdms566w+74p4Q14\nyAbV9fuVY/JWIjc3F/369UNRURHi4+Mhk8nw9ttvo0uXLpUm+by8PCiVSqNtSqUSOTk5wut79+5h\n//792Lt3L7p3747FixdjypQpOHDgQIV1RkVFCc+Dg4MRHBxc7/dm7comfLGTAp5RYQ07Ti+RNe1W\nvFYNdcKvELdsCzs3L2Fz8fEfIO37DIp//RrSTr0h8e5iwSCJ6icuLg5xcXH1rodJ3kr06dMHy5cv\nx4IFC5CXl4erV6+ioKAA+fn5lR6jVCqRm2s8Gzo3NxcuLi7Ca2dnZ4wdOxZBQSWtpqioKLRo0QL5\n+flwciq/EEvZJE+VE8mkMKg15bbr8wtwM+qTBk3ysu6DS8bjm3Ki1+tgKLgPlEny2pTzkPYJgf7O\ndehbegFM8tSEPdxIWrp0aZ3qYZK3El9++SUWLVqExMREvP322+jevTvUajXee++9So8JDAzEp59+\nKrxOTU2FSqWCn5+fsK1du3a4du2a8Lq4uBhSqZSX5tVTq/DZuP3+GqCC7reGXt9e6h8kdHWrfv6q\n3Ox6XWZ6pbPrS/dVNLtec+1snWbXq/ZvKDe7Xpd1u8LZ9U1+qIHIzJjkrcTXX3+NZcuWoUOHDnj0\n0UcxZswY6PX6ct3xZfXv3x8qlQrr16/HhAkTEBERgVGjRkEqlQplJk+ejKCgIBw6dAg9e/ZEVFQU\nQkJCIBZzzmZ9uM2ahOz/7cSjSQ9muJftticiMgV+U1uJ8+fPo2fPnujTpw9WrFiB7OzsKhM8AEgk\nEmzfvh2rVq2Cp6cnMjIyEBMTgw0bNgit+U6dOmH9+vV4/vnn4e7ujrS0NPznP/8xx1uyafW573xt\niF3cAanxLHyRRApxM/cKy5fuEzkoIHJygdi11YN99gqInF3rEIMbILWv4DytKjmiRPGx71CwOVp4\nwGCA6puSnivNH0e5dj8ROLveqqjVasTFxeH777/Hrl274O3tjUmTJmH+/PlmOT9n19ec5m4mbi9f\nh7YfLhS2NcR9561NwTcf1G4ugURWoxUADTotDEUFECtcKi2jz8uCyMm12gWmiBoC7ydPkMlkePLJ\nJxEdHY13330X9+/fxxtvvGHpsKgCUrcWRgke4H3na6JG1/+XVcMfBPqcuyg+9E2VZVR71zftyYpk\nk5jkrcTJkyexdOlS9O/fHz4+Pvjuu++wePFi3Llzx9KhUQ019PK21qB0bX67dl1hP2AMFJMjhAdE\nIsgnLqy+EiIbwol3VuKJJ55ASEgIwsPDMWLECCgUiuoPIiIiq8YxeStRVFQEBwcHi8bAMfn6s+RK\neE2JLjMdIrkTxI4PJpdq0y5D3MYP2qtnoDm1t+FOzhX3yAI4Jm+jnJ2dAQDNmjXjrWbJZti1aGOU\n4AFA4tUZYrEYsk69azduX1u8uQ81Ieyub+IuXCiZgX358mUAYEuaCGZY1Y8T8KiJYHe9lejUqROe\nffZZTJo0CV27drVIDOyurz9211uGLusW1Cd3QT688smPD1++Jx8dhqKf/w+Oox5coqra9yVkvZ+G\nobgQ2iun4DBkUt1junMD6vOHIH9iap3rMBd9dgaKjnwLsbJlpe+5+Mw+iJ1cIe3Ux8zRWQd219u4\nmJgY3L17F0899RS6deuGZcuW4erVq5YOi+rhtHM3YVGclDmLUXw9Tdh376tvkbl1l6VCo1J6XfnX\nBkPJ4+F9tWaKOszDAAB6fdXx6vUVLuNMDYtJ3ko8/fTTWLNmDVJTU/HFF1+gqKgII0aMQK9evSwd\nGtXCw/eavxn1CQAg7/Dv0OcXCvuKriSj+Np1s8dnrUR2EoiULassU3Z1P6Kmgkneyly5cgVHjx7F\nb7/9huzsbDzyyCOWDolqwTMqrFyip4YndnGDw8AxVZaRD5tunmCITIhj8lZi7ty5+Omnn5CTk4OR\nI0di/PjxeOqppyCTNeAs44dwTN50Hh6bP9/1Sfh+8ynkXTsBANIWLYfYyRFtFr1kqRBtEu+C18jY\n0OWMdf1+5ex6K6FWq/HZZ5/hiSeeMGtip4ZXmvAvdHuq3L5b762BZ1QYV8szF4mMM+sbk78uZ7SF\nJF9X7K63Evfu3cPw4cOZ4K1E2S77qpQdt6eGV+u186nh8UdXldiStxISiQS7du3CM888Y+lQyAQ8\no8JwM+qTGo3Jc9zefKT+QUKrUV+Yi6LYL+A4ZoGwX/XTfyDrM6LkErrLv8Hh8cl1PpfuznWoE+Ig\nH/Z8veNuaLrsDBQf+gZiZYtK33PxqZ8gdm4Oaee+Jjknh05qhkneSuj1eowZMwZ9+vSBi8uD22WK\nRCLs2bPHgpFRXXiEzzbqgq9oTP7We59ZKjwqJX6oM1QkBkpvRfvwvloTmaAO8xABJe+7qnjLfjZk\nNkzyVmLUqFEYNWpUue289zVRwxA7KuE46mWjbfKnZgjPJW1861W/nbs35E9Mq1cd5iJ2bQXHv8+r\nsox9ryfNFA2Vxdn1ZDKcXd9wCs5cgEPnDrBTlNyLoDglDefaDxL2e/87Ei4hj8PB18dCERKZV9nu\nesXkCAtGYh5c8c7GVXRzGt6gxnooenYTEjwA2Pt4Ge3P2v4TNOkZ5g6LiKpRnHIBBVvft9j52V1v\nJS5duiQ8NxgMSE1NxfLlyzFy5EgLRkVEZNv0aVcAncZi52eStxI+Pj5Gr9u3b49u3bqha9eueOGF\nFywTFBERWRS7663YqVOnUFxcbOkwyAzyD/+GP4c8i99F7Y1ubENEto0T76yEg4OD0Ux6vV4Pg8GA\nlStXYt68qme9mgon3pnXaedulV4jL3ZSoFfeBTNHRGQ+TfE6+fpMEOSytjZMo9Hgzz//FF6npqbi\n119/xdChQzFgwAALRkYNqaoFc7hADlk9LjFcI+yub+LOnTsHb29vvPbaa/Dx8cHevXsxYsQIJCQk\nYMyYMYiNjbV0iNRAPMJno1feBfQxJMNpUF88cvB/lg6JyGy4xHDNsCXfxL322muYO3cuIiMjAQAf\nf/wxYmJi8I9//AP79u1DdHQ0nnqq/I1NiIiasrJLDDdmqiM7oL9x0WLX8nNMvolTKpVIS0uDUqnE\n7du34enpiaysLLi4uECr1aJ58+bIzc01Sywck7ec+3vjoOjRFfGtjdcFFzspeJc6IgsyVZLnYjg2\nSiqVQiIp6ZA5ceIEunTpIqxdn5+fX+0/itOnTyMgIABOTk4ICQlBVlZWpWV//vlnLq7TSDUbHgyp\nh1u5u9fxLnVEliVu3gZ/re5vmfNb7MxkEo899hhWrlyJvLw8fP3113j88ceFfatXr0afPn0qPVan\n02Hs2LGYP38+0tPT4e7ujrCwsArL5ufnY+7cuSaPn0zLMyqswkRPRJZh36U/FJOXWOz87K5v4lJS\nUjBx4kScOnUKnTt3xs8//wwvLy8EBgYiNTUV+/fvR48ePSo89vDhw5g9e7YwMz8tLQ3+/v7IysqC\nVCo1KvvSSy9BqVTi3//+N1QqVYX1sbu+cfld1F543seQbMFIiKi+2F1vo3x8fPDbb78hLy8Ply5d\ngpdXyZrm0dHRuHLlSqUJHgDi4+MREBAgvPby8oJcLkdiYqJRuYMHD+KPP/7Aiy++2DBvgoiIGgRn\n11sJhcK4i7Yma9bn5eVBqVQabVMqlcjJyRFeFxYWYt68edixY0eN4oiKihKeBwcHIzg4uEbHUcMq\nbdVzIh5R0xAXF4e4uLh618Puehv26aef4vDhw9i6dauwzd3dHXFxcejSpQsAIDw8HM2bN8fixYuR\nnJyMLl26sLu+iTgl6wSDpvyNMbgaHlHTw+56qrXAwEAkJCQIr1NTU6FSqeDn5ydsO3ToEJYtWwa5\nXA5/f38UFxfD0dER8fHxlgiZakER1AMi+/KLhXAiHpHtYJK3Yf3794dKpcL69etx//59REREYNSo\nUUaT7n7//XeoVCqoVCpcvnwZ9vb2KCwsRGBgoAUjp5pQ9OoOr3dfRx9DMifeEdkoJnkbJpFIsH37\ndqxatQqenp7IyMhATEwMNmzYYNSaL2UwGIxugkNERI0bx+TJZDgm37joi4oBsQhiWUmXfdlL6irC\nSXlEjVddv1+Z5MlkmOQbt6puTVtK7KRAx//FwM7FGc6PVb6QEhGZFyfeEVGVKloN72H6/ALk7j+K\ngt/PmSmZv7R8AAAgAElEQVQqImpIvE6eyEZ4hM+utCu+uq58Imqa2JInIiKyUhyTJ5PhmHzTZamW\nPCf7EdUMJ96RxTHJN101mZTXULgCH1H1OPGOiOqsJpPyGgpX4CNqOGzJk8mwJW8dbrwSDZl3G3i8\nMrNBz8Nb4RLVHFvyREREZISX0BGREdexT8HO2cnSYRCRCbC7nkyG3fVUG1XN6OeseyJjnF1PFsck\nT7VR3Yx+zroneoBj8kTUpFQ3o5+z7onqjy15Mhm25MkUOOueqDy25ImIiMgIZ9cTUaNl6uV2OaGP\nbA2768lk2F1PptDQS+xyQh81ReyuJyKr0NBL7JrqB0TugWPI/nF//WJRFSFt4YcmiYeoImzJk8mw\nJU+Nmakn9N368HNo72Wh7YcL61yHNicX57wfQ8+cc/WOh6wbW/JERERkhEmeiIjISrG7nkyG3fXU\nmJl6pj7VDK9oMA0ua0sWxyRPjVlDz9qnyvGKhvrjmDwRURUaetY+VY4/riyHLXkyGbbkyZZwdn31\nuEQxoNFogJwcSFu2rFc9bMkTERE1MrciP0a8Wx+LnZ/L2hIR1YHL04OhLyquVx1iuQO8V0WZJiCi\nCrAlb+NOnz6NgIAAODk5ISQkBFlZWeXKbNy4EX5+flAqlRg9ejRu3bplgUiJGhfHR/3h1DewXnWI\nZTK0DB1rooiIyuOYvA3T6XTo0KEDIiIiMHHiRISFhUGr1WLjxo1CmYSEBDz++OP49ddf4evrizfe\neAOpqan48ccfy9XHMXkiKouXLRqrz7yEun6/srvehh07dgxyuRyzZs0CAERHR8Pf3x8ajQZSqRQA\nEBsbi/HjxyMgIAAAEB4ejh49elgsZiJqOsROCs6stzB219uw+Ph4IXkDgJeXF+RyORITE4VtkyZN\nwpIlS4TX586dQ6tWrcwaJxE1Tbxs0fLYkrdheXl5UCqVRtuUSiVycnKE1+3atROeb9iwAWFhYVi9\nenWldUZFRQnPg4ODERwcbLJ4iahp8QifbfMr3d1Y+CEy3l9T6676uLg4xMXF1fv8TPI2TKlUIjc3\n12hbbm4uXFxcjLalpaUhNDQUqamp2Lp1K5588slK6yyb5ImIqG4ebiQtXbq0TvWwu96GBQYGIiEh\nQXidmpoKlUoFPz8/YVtWVhYGDRqE3r174+LFi1UmeCIiMia2l1r0/Jxdb8O0Wi06duyIJUuWYMKE\nCViwYAG0Wi02bdoklImOjsaff/6Jr7/+utr6OLueiKhhcMU7qjWJRILt27dj1apV8PT0REZGBmJi\nYrBhwwahNX/q1Cls3boVUqlUeMhkMgtHTkRENcGWPJkMW/JERA2DLXkiIiIywiRPRERkpZjkiYiI\nrBSTPBERkZVikiciIrJSTPJERERWikmeiIjISjHJExERWSkmeSIiIivFJE9ERGSlmOSJiIisFJM8\nERGRlWKSJyIislJM8kRERFaKSZ6IiMhKMckTERFZKSZ5IiIiK8UkT0REZKWY5ImIiKwUkzwREZGV\nYpInIiKyUkzyREREVopJnoiIyEoxyRMREVkpJnkiIiIrxSRPRERkpZjkbdzp06cREBAAJycnhISE\nICsrq1yZ2NhY+Pr6wtnZGdOmTUNxcbEFIm0a4uLiLB1Co8DPgZ9BKX4Olv0MmORtmE6nw9ixYzF/\n/nykp6fD3d0dYWFhRmWysrIwefJkfPLJJ7h+/Tru3LmDZcuWWSjixo9faCX4OfAzKMXPgUmeLOTY\nsWOQy+WYNWsWlEoloqOj8f3330Oj0Qhldu/ejb59+yIkJATNmzdHREQEtm7dasGoiYioppjkbVh8\nfDwCAgKE115eXpDL5UhMTKy0TI8ePXD16lUUFhaaNVYiIqo9kcFgMFg6CLKMd999F8nJyVi/fr2w\nzdfXFxs3bkRQUBAA4IUXXkC7du2wePFioYxUKsWNGzfQunVro/pEIpF5AiciskF1SdeSBoiDmgil\nUonc3Fyjbbm5uXBxcam0TEFBAXQ6nVGZUvy9SETUuLC73oYFBgYiISFBeJ2amgqVSgU/P79Ky5w5\ncwYdO3aEo6OjWWMlIqLaY5K3Yf3794dKpcL69etx//59REREYNSoUZBKpUKZESNG4Pfff8fu3buR\nmZmJ6OhoTJo0yYJRExFRTTHJ2zCJRILt27dj1apV8PT0REZGBmJiYrBhwwahNd+8eXNs2rQJYWFh\naNeuHdzd3REREWHhyImIqCaY5G1c7969ce7cORQUFGDv3r1o3rw5QkNDjWbYDx8+HFevXkV+fj42\nbdoEe3t7ozpqsqCOLQkJCcHJkyctHYZFxMbGonv37lAoFPjb3/6Gy5cvWzoks/vhhx/Qvn17ODs7\nY9iwYUhOTrZ0SBZ18eJF2Nvb486dO5YOxeyGDBkCuVwuPGbNmmX2GJjkqV5qsqCOrdDpdPjxxx/x\n888/2+SVBhkZGZg4cSI+/vhjZGVlYdiwYZgwYYKlwzKrO3fuIDQ0FOvXr0dGRgYeffRRvPDCC5YO\ny2J0Oh1eeOEFaLVaS4diEcnJySgoKIBKpYJKpcJ//vMfs8fAJE/1UpMFdWxFQEAAxo0bB51OZ+lQ\nLCIuLg79+vXD0KFDYW9vj9dffx0XL17E/fv3LR2a2Rw5cgT9+/fH0KFD4ejoiJkzZ+Ls2bOWDsti\nVq5cicGDB9vklTcqlQr29vYQiy2bZpnkqV5qsqCOrbhw4QI0Gg28vb0tHYpFBAcHY/Xq1cLrCxcu\nwN7eHkql0oJRmdfYsWPx008/AQA0Gg02bNggrDlha65cuYJNmzYhKirK0qFYRFJSEtRqNXr16oUW\nLVpgwoQJFhmyYJKnesnLyyv3Ja5UKpGTk2OhiMhSWrVqJUzY3LNnD0aMGIHIyEiLt2TMTSQSYc+e\nPZDL5VixYgVCQ0MtHZLZ6fV6zJo1C6tWrSo3h8dWZGdnw8/PDxs2bEBSUhKcnJzw/PPPmz0OLoZD\n9VKTBXXIdty/fx8vvPACDh06hJUrV2Ly5MmWDskiRowYAbVajR07dmDq1KkYPHgwWrVqZemwzGb1\n6tXo3LmzUVe9rXXZP/bYY9i/f7/wevny5XB3d0dBQQEUCoXZ4rCtn9hkcjVZUIdsg1qtxrBhw+Dg\n4IDExESbTPCff/45YmJiAABisRjjx49H8+bNkZ6ebuHIzOvgwYPYuHEj5HK5sHCWj48PfvjhBwtH\nZj67d+/G4cOHhddarRZ2dnZm79lgkqd6qcmCOmQbtm7dCgcHB2zYsAHOzs6WDscivL298dFHH+HC\nhQsoLi7Gf//7X9jZ2aFLly6WDs2svv32WxQVFQmzygHg+vXrGDVqlIUjM587d+5g7ty5SE5ORl5e\nHt566y2MHTsWEol5O9CZ5KleKltQh2zPqVOncOzYMUilUuEhk8mQmppq6dDMZvjw4Zg7dy6eeuop\nuLm5YdOmTdi1a5fNjkuXssVLSv/xj39g5MiR6NOnD9q0aYOCggKsWbPG7HHwLnRERERWii15IiIi\nK8UkT0REZKWY5ImIiKwUkzwREZGVYpInoiZr/vz5GDx4sNE2lUoFb29vrF271kJRETUeTPJE1GT9\n61//QmJiIrZv3y5s++ijj+Dh4YEXX3zRgpERNQ5M8kTUZCmVSixfvhxvvvkmNBoNbt26hRUrVmD1\n6tV45pln4OjoCF9fX5w4cUI45vXXX0erVq2gUCgwZswY5OfnAwCmT5+OhQsXonv37lixYgVOnTqF\nHj16QC6Xo0ePHjh37pyl3iZRnTHJE1GTNnXqVHh5eSEmJgZLlizBc889h0WLFiEwMBD37t3DJ598\ngvHjx0Or1SI2NhYHDx7EpUuXkJaWhvT0dHz11VdCXZs3b8a2bdsQHh6OOXPmIDIyEvn5+Xj++efx\n6quvWu5NEtURb1BDRE3e6tWrMWjQINjb2+PMmTPo2rUrYmNjIRaLERISAj8/Pxw6dAiBgYH45ptv\n4OLigtTUVCgUCmRlZQEoWZVtypQpeOSRRwAA+fn5OHv2LAIDA/Hyyy9j+vTpFnyHRHXDljwRNXld\nu3bF0KFD8eKLLyI1NRU5OTlQKBSQy+WQy+U4fvw40tLSUFRUhKlTp6Jz586YN28esrOzjeope/fE\nLVu2ICEhAQEBAejatSv27t1r7rdFVG9syRORVVAoFHB0dETLli3RsmVLZGRkCPsSExPh5uaGefPm\n4fHHH0d0dDQAVHp/b5VKhfT0dPzwww/Q6XTYsWMHpkyZgjFjxsDBwcEs74fIFNiSJyKr0qFDB3h6\neuLTTz9FcXExjh07hoEDByInJwfFxcVQqVTQaDTYt28fdu7ciaKiIgDG9zsXiUSYPHkyDhw4AJFI\nBIVCAVdXVyZ4anKY5InI6nzzzTf49ttv4erqiilTpuCzzz5Du3btsHjxYuzevRuurq744osvsGLF\nCnz66ac4f/48RCKRcLc0BwcHfPXVV/jnP/8JJycnvPnmm9iyZYuF3xVR7fEudERERFaKLXkiIiIr\nxSRPRERkpZjkiYiIrBSTPBERkZVikiciIrJSTPJERERWikmeiIjISjHJExERWSkmeSIiIivFG9SQ\nyZQuCUpE5tOQi5by/+nGpS5/a7bkyaQMBkOTebz99tsWj8Ga422KMTe1ePn/dPWP559/3uIxWPJv\nzSRPRERWy8fHx9IhWBSTPBERkZVikiebFRwcbOkQaqWpxQs0vZibWrxUvWbNmlk6BIvirWbJZEQi\nkdnGCYmo4f+fs4b/p+Pi4qzix1td/xacXU9ERJXiDPu6c2nmivvZWRaNgUmeiIgqFXM0ydIhNFkv\nD+xg6RCa9pi8r68vpFIppFIpxGKx8Fwmk+HGjRsIDg6GRCIRtru6uiI0NBQFBQUAgMjISDg4OEAu\nl0Mul6NTp05C3evWrUObNm3g4uKCcePG4d69exXGkJeXh0mTJkGhUMDb2xsrV640y3uvq927d+O9\n994z2paRkYGWLVvit99+AwAUFxfD3t5e+Fzkcjk2bNiAzMxMjBs3zhJhExHVSeKZE5YOwaKadJK/\nevUqNBoNNBoNAODmzZvQaDRQq9Xw9vaGSCTC5s2bhTLnzp1DQkIC3n//feH42NhYqFQqqFQqXLly\nBQCQkJCARYsWYdeuXUhLS4NUKsXChQsrjCEyMhI6nQ5paWnYs2cPPvzwQxw9etQ8H0At6fV6vP32\n25g/f77R9pdeegm5ubnC65SUFAwYMED4XFQqFUJDQ9GiRQu4ubnh559/NnfoRERUB006yddW27Zt\nMWzYMCQkJAAAkpKS0LFjx3LlDhw4gHHjxqFnz55wdnZGaGgozp49W2GdBw4cQHh4OFxdXdGtWzcM\nGTIE8fHxSElJgYeHB5YuXYpmzZrB19e30uQvFovx+eefw8PDAx4eHvj666+FfXv37oWvry/kcjnG\njh2LwsJCAEBOTg5Gjx4NR0dHDB48GPPmzcPSpUurfP87d+5Ely5d4OTkJGzbtm0bpFIpPD09hW2V\nfS4AMHPmTOFHEhFRY+fXs7+lQ7Aoq0/yZWcjpqWlITY2Fn379gVQksxmz56N5s2bY8CAATh16hQA\nYMGCBVi7di0AoLCwEFu2bEFQUFCF9cfHxwv7EhMTceTIEfTr1w8AcPfuXeTl5SEzMxPLly/HhAkT\nUFRUVGE9Bw4cQFJSEtauXYsXXngBarUaKSkpmDZtGjZs2IA7d+7A1dUVERERAICFCxfC3t4eWVlZ\n+Pjjj7Fx48ZqJ8hs27YNf/vb34TXmZmZePvttxETE2NULikpCfHx8ejQoQPatGmDN998E3q9HgDQ\nu3dvXLx4EXfv3q3yXEREZHlWneQNBgNCQ0OFceXevXtj4MCBeO2111BUVAQvLy/MmzcPN2/exLRp\n0zBy5Ejk5uZCJBJBJBJhzZo1cHZ2xnfffYdnn322wnOUJtagoCB07twZPj4+8Pf3F/YvWbIEdnZ2\nGDNmDFq1alVpa37JkiVwdHTE3//+d6jVamRkZGDLli2YPHkyBgwYAGdnZ0RERGDbtm0ASlrlixYt\ngoODA3r16oWRI0dWe3nFiRMnEBgYKLyeP38+3nrrLbi5uRmVU6vVCAgIwMmTJ3HkyBHs378fy5cv\nF95vQEBAox2SICIqy1Rj8uYe24+LizNJPVY9u14kEmHjxo2YOHFihfvPnDkjPJ87dy5Wr16NQ4cO\n4ZlnnhG2zZw5E5999hlGjx6N9PR0yOVy4UeAWq0Wjj9+/Dhu3bqFKVOmYOHChQgPD4dSqTRaiKFF\nixbIzs6uMJZWrVoBKOm6l0gk0Ov1uHHjBv773/9i/fr1RmV1Oh3u3btnlJxrsnTjrVu30LJlSwAl\nPxLu3buH0NBQ4cdB6X9feeUV4Rg3NzcsXLgQ77//Pt58801h282bNys8R1RUlPA8ODjYKq5PJWos\n4uLiTPblT7Vz9exJs3b9m+r6fqtO8kDld+25ePEizpw5g2nTpgnbdDodFAoF3nnnHTzyyCOYOHEi\nZDIZ5syZg/DwcOTn50Or1Qrl1Wo1nnjiCezduxdOTk5o3bo1Jk2ahD179gAAcnNzoVKpIJfLAZRM\naKvNOspubm545ZVX8MEHHwAAtFotLly4ADs7O3h7e+P69eto06YNgJIE7u3tXWV9IpEIYnFJ583B\ngwdx6NAhIbbi4mIMGTIEH3zwAWQyGUJCQoT6tFotFAqFUI9er690aKBskici03r4h3N183DIdGPy\nWRk3ceB//631cXW94qq4uLhOxz3MqrvrgcoXcpBKpZg/fz4OHjyI4uJirF27Fnl5eRg0aBDc3Nzw\n3nvvISUlBSqVCh988AECAwPh6upqVIdMJoNarcZ7772HgoICXL9+HV9++SWGDh0KoOQHRmRkJFQq\nFb744guIxWL07t27xnGPHTsWmzdvxvnz51FUVISoqCihNT158mQsW7YMOTk5OHnyJLZt21btmLyH\nhweyskoWZvjoo49QVFQkzJ5v164dDh06hLCwMJw4cQJvvfUWcnJycOPGDXz44YdGwxV37twRflwQ\nEdkCrVqNnDu3avUASuaC1eVROg+qvqymJV/bVZk6deqEtWvXYsaMGUhPT0dgYCB27twJiUSC2bNn\n4+rVq+jTpw90Oh0GDhyI7du3V1jPxo0bMWfOHLi7u8PNzQ2hoaGYN28erl+/Dnt7exQVFaFFixbo\n2LEjfvjhhxrFXvo6MDAQ77zzDkaPHo2bN29i4MCB2LhxIwBg8eLFmDlzJtq0aYP27dsLPywAYOjQ\noQgODsaSJUuM6g0KCsLZs2fRrVu3Kj+bmJgYTJ8+HZ6ennB0dMTMmTMxZ84cYf+FCxcwYMCAKusg\nImoMEs+cMElr3r1tewyfGVarY37d+kWdW/Km6hXl2vUNJCUlBf7+/lCpVA1S/5kzZ9C+fXuhd+HZ\nZ59FUFAQwsIq/0e4a9cufP3119iyZUudz3vx4kXMmTMHhw8fLrfPGta5JmpKzLF2fVNf8c5USX7v\nfz+pdZJ/eWCHOv99oqKijBJ9Xf/WVt9db61iYmLw+uuvQ6PR4Pfff0dsbCyGDRtW5THPPPMMEhMT\nkZmZWefzfvHFFwgPD6/z8URE5mSqMXnfHv1MUk9NmWrSMpN8A2rIGzssX74cycnJcHFxwdSpUxET\nE4MuXbpUe9wHH3yATz/9tE7nvH//Pq5cuYLRo0fX6XgioqbK3IvqmCrJs7ueTIbd9UTmxe766pmq\nu74u6tNd/zB21xMREZERJnkiIrJaXLueiIiIrBLH5MlkOCZPZF7mGJOnunNp5or72Vkmqauuf2ur\nWQyHiIhMr6n/cDfVGvBNFVvyZDJsyROZlzla8vx/unHg7HoiIiIywiRPRERWy9ZvzcskT0REZKU4\nJk8mw/E7IvPi7Hpjrs1ckJV939JhNAjOriciIpPL//odS4dQY05TIi0dQqPD7noiIrJaHJO3Yr6+\nvpBKpZBKpRCLxcJzmUyGGzduIDg4GBKJRNju6uqK0NBQFBQUAAAiIyPh4OAAuVwOuVyOTp06CXWv\nW7cObdq0gYuLC8aNG4d79+5VGENeXh4mTZoEhUIBb29vrFy50mTv76uvvsLw4cMBlNx7eO7cuTU6\nburUqbhx4waefPJJ4b2VPqRSKdLS0nD79m0MGzYMjo6O8PPzw+bNmwEAa9aswdatW032HoiaotcW\nLED7tp7VPjr6eOPs2bOWDpdsmFV311+9elV4LhaLcfPmTbi7uwvbRCIRNm/ejIkTJwIAUlNT8cwz\nz+D9999HdHQ0rl69itjYWAwZMsSo3oSEBCxatAj79u2Dn58fZs+ejYULF2L9+vXlYoiMjIROp0Na\nWhpu3ryJoUOHol+/fhg4cGADveuqHT16FGKxGN7e3ti3b5/RvtWrV+P48ePw8vLCmDFj4O/vj+++\n+w5nz55FSEgIHnvsMUyfPh0DBgzAuHHjIJFY9T8fokpdvHgObwzvi8Fd2ldZbu4Xe3Dr1i306NHD\nTJHRw2x5IRzAylvytdW2bVsMGzYMCQkJAICkpCR07NixXLkDBw5g3Lhx6NmzJ5ydnREaGlrpr/UD\nBw4gPDwcrq6u6NatG4YMGYL4+HikpKTAw8MDS5cuRbNmzeDr64ujR49WWMe+ffvQtWtXODg4oGvX\nrjh06JDR/m3btiE6Ohrr1q3D/Pnzq3yPH330EaZPn15ue3JyMlasWIHVq1cLcS9cuBBOTk4YNGgQ\n/P39cf78ecjlcgwYMABbtmyp8jxE1q5VMyf4uLtW+XC0l1k6TLJxNp/ky85WTEtLQ2xsLPr27Qug\nJMnPnj0bzZs3x4ABA3Dq1CkAwIIFC7B27VoAQGFhIbZs2YKgoKAK64+Pjxf2JSYm4siRI+jXrx8A\n4O7du8jLy0NmZiaWL1+OCRMmoKioqFwdM2bMwJo1a1BQUIBp06bh1VdfNdo/YcIEREZG4sUXX8Sq\nVasqfa+FhYX45ZdfMGjQoHL7IiIi8Oqrr8LFxQUAkJ2djdatWwMATp48icTERKE1MmLECHbZ19LB\nX37GorkzEPHPf2DR3Bk4+MvPlg6JqNE6/Eeyyeqqz5i8NYzn23SSNxgMCA0NFcaje/fujYEDB+K1\n115DUVERvLy8MG/ePNy8eRPTpk3DyJEjkZubC5FIBJFIhDVr1sDZ2Rnfffcdnn322QrPUXoJSlBQ\nEDp37gwfHx/4+/sL+5csWQI7OzuMGTMGrVq1KteaNxgM2LFjBwYPHoz79+9DLpcjMzOzwvdS3eUV\np0+fRvv27SGVSo22X758Gb/88gtmz54tbBOLS/5ptG7dGkFBQXj88cfRqlUrAECPHj1w5MiRKs9F\nDxz85Wfs+XI1Fg9qj7ce64DFg9pjz5ermeiJKnH4UoqlQwBgHUnepgdVRSIRNm7cKIzJP+zMmTPC\n87lz52L16tU4dOgQnnnmGWHbzJkz8dlnn2H06NFIT0+HXC4XfgSo1Wrh+OPHj+PWrVuYMmUKFi5c\niPDwcCiVSjRr1kwo06JFC2RnZ5eLcevWrRg/fjy8vb2FRFsXt27dQsuWLcttX7NmDUJDQ2Fvb1/h\nMdeuXcOoUaPwySef4NVXX4Wbmxtyc3NRWFgIR0fHOsdjK2K/3YLIEb2MtkWO6IXoT/+F3hknAADS\n7oMh6z6k3LHq8wehOX+o3HaWt2x5Q0EuAM9y28uV0xShKG4L1G0VDRqPNUm8dQ+rfzqOrw/XbcJi\n+/ZVz5OojUcffdRkdVmKTSd5oPI7LF28eBFnzpzBtGnThG06nQ4KhQLvvPMOHnnkEUycOBEymQxz\n5sxBeHg48vPzodVqhfJqtRpPPPEE9u7dCycnJ7Ru3RqTJk3Cnj17AAC5ublQqVSQy+UAgJSUFPj4\n+BjFsX//fuzatQtXrlyBg4MDfv31V8yYMaNO71UkEgkt9FIajQZbtmzBzp07hW2pqamYPXs2fvrp\nJwBAx44dMXLkSKSkpAAA9Hp9peeIiooSngcHB9v8pBcAsBNV/G/MTmzTHWlUBwd/j0fc7l8tHUaD\naufWDFMGBeKfT1c8BFqVbq98jAMHDpgslnXr1pmsLkux+SRf2YpOUqkU8+fPh7e3N/r3748vv/wS\neXl5GDRoEP7880+899576Nu3L1q1aoUPP/wQgYGBcHV1NapDJpNBrVbjvffew6JFi3Dv3j18+eWX\nmDJlCoCSHxiRkZF45513sGXLFojFYvTu3duojuLiYmi1WhQVFeHOnTt49913odFoyiVaiUSC/Pz8\nKt9r69atkZVlfG/jU6dOoaCgAL16PWhptmnTBufPn8fatWvx/PPPIykpCdu2bcPHH38MALhz5w6c\nnZ0rbMWXTfJUQmeo+N+YroofS0QVGdInEAMccoXX7+6wvoQvk0jQTCGHj7tr9YUr8HBLvj63mq2o\nd7OpsZkkX9vlGTt16oS1a9dixowZSE9PR2BgIHbu3AmJRILZs2fj6tWr6NOnD3Q6HQYOHIjt27dX\nWM/GjRsxZ84cuLu7w83NDaGhoZg3bx6uX78Oe3t7FBUVoUWLFujYsSN++OGHcsc//fTT6N27Nzw9\nPdGhQwcsX74c//znP/HWW2+ha9euwvsaPHgwVqxYgfDwcISFhaFjx45ISkpC27Zthbp69uyJpKQk\naDQaYVz+t99+Q//+/WFnZyeUs7Ozw/bt2zF//ny8+uqr8PLywoIFCzBy5EgAwPnz5y12CWBT9NT4\n5/DOl6uNuuyX7jmNkHmLoXhiWJXHyroPqbDbluUtW170Zc2Sq0jqAIfg5yo9Z73j4QpvVA2uXW8h\nKSkp8Pf3h0qlMut5x48fj9mzZ+Opp56qcx2vv/46/P39yw0bcO36yh385Wfs2/4/iKGHHmI8Oe5Z\nDKkmwVPjNXzY3zC7hyeeCuxUZblxH2/Dy0vfx4gRIxokDnOsXW+JZW0P/5GMQdWsQVARpymRJv08\n6tMLYGpcu55q5I033sDy5cvrnOQ1Gg3279+PZcuWmTgy6zbkiWFM6lbEwcERc/+zE3KHqrtzM7Lu\n40qL0twAACAASURBVHUr6PI1t7ok+IbQWBJ8fTDJW5Al7vDUt29fODk5ISkpCR06dKj18Rs3bsTL\nL79sFWNVRHW1YfOWSpeyLqt0dUmynMbUGrcEJnkL8fHxQWFhoUXO/eWXX9b52LrO7CeyJs7OznB2\ndrZ0GETV4jU8RERktWy5FQ9w4h2ZECfeEZmXOSbeNSWuzVyQlX3f0mE0iLr+rdmSJyKiSpUumd0U\nHhUleGtYmrY+mOSJiIisFLvryWTYXU9kXuboruf/040Du+uJiIjICJM8ERFZLVsfk+d18kREVClT\nzrBv5uyM7Nzc6guSyXBMnkyG43dE5mWOMfnf4GOy+voihd8RdcQxeSIiIjLCJE9ERFbL1sfkmeSJ\niIisFCfeEdXClStXcO7cuWrLiUQiDBs2DEql0gxREVFlbH3t+gZpyfv6+kIqlUIqlUIsFgvPZTIZ\nbty4geDgYEgkEmG7q6srQkNDUVBQAACIjIyEg4MD5HI55HI5OnXqJNS9bt06tGnTBi4uLhg3blyl\nt3vMy8vDpEmToFAo4O3tjZUrVzbEWzVy8OBBdO/evUZlr169CplMJrxHuVyOgwcPGpVRqVTo1KkT\ntm7dKmz76KOP4OHhAaVSiSeffBKJiYkASv4hly1XlTfeeAMnTpwAALRr184ohujoaAAw+vzlcjkc\nHBzQqVMn7N27Fx988EGNzmONIl9/A0tDZ2LdzJeqfMyb+jz27Nlj6XCJzOI0iixyXlvviq+JBkny\nV69ehUajgUajAQDcvHkTGo0GarUa3t7eEIlE2Lx5s1Dm3LlzSEhIwPvvvy8cHxsbC5VKBZVKhStX\nrgAAEhISsGjRIuzatQtpaWmQSqVYuHBhhTFERkZCp9MhLS0Ne/bswYcffoijR482xNsVDBkyBOfP\nn69R2WvXrmHKlCnCe1SpVBgyZIhRmSVLliAlJUW4hOXkyZNYuXIlTpw4gbt376J379546aWXAJS0\nHGtyqUtycjLOnDmD/v37o6ioCHZ2dkYxREREAACKioqMto8cORJvvPEGhg8fjh07diArK6s2H43V\n0Ot0mKSS4V+5jlU+ekgVnEVMNuNMI07ytv5DoFF017dt2xbDhg1DQkICACApKQkdO3YsV+7AgQMY\nN24cevbsCQAIDQ1FZGRkhXUeOHAAa9euhaurK1xdXTFkyBDEx8fD09MT/fv3x9y5c/Hxxx+jZcuW\n+L//+z8MHDiw0vhSUlLQv39/zJs3DytWrEDbtm3x8ccfY/Hixbh48SLmz5+Pd999F3FxcZg7dy4u\nXbqEqKgo3Lp1C5cuXUJgYCBiYmKM6qzsPZY6ceIEfv/9dwQFBRklC4PBIPx4UqvVFXYHr1mzBjEx\nMThy5AhatGhhtC8mJgaTJ08GUJLwO3ToUGkMpbZt24acnBzMmjULADB+/HisXr1a+EFgLX7dvQc/\nxqyFuFgNvb0Mf395Dh4PGWHpsKrUFGMm65MNHY6gsEZld+/ebZJz+vr6mqQea2exJF82caWlpSE2\nNhaTJk0CUJIAZ8+ejZMnT+KRRx5BTEwMevfujQULFgjHFBYWYsuWLQgKCqqw/vj4eKFlm5iYiCNH\njuD1118HANy9exd5eXnIzMzEjz/+iAkTJiApKQkODg6Vxnv37l3cvXsXt27dwpQpUzB69GgcOnQI\nrq6u6NKlC6ZOnVrumP/973/Yt28f+vXrV25fUlISjh07hjVr1kAikeDll19GeHg4AKC4uBhz587F\nli1bMHfuXOF99OvXD2PHjkXnzp0BlHSpnz592ugz3bZtGz788EMcPny4XIIHgO3btyMsLEyIIT09\nHf7+/sjMzMSoUaPw73//GwqFQiiv0WiwcOFCfPfdd8K2ESNGYNKkSVaV5H/dvQffhC3EjGsPFur4\n4lpJL1FjTZpNMWayTrehxXbk1ajsZ599ZpJzPvfcczUqZ+tj8hZJ8gaDAaGhoZg+fToAwMXFBaNH\nj8Zrr72GoqIieHl5Yd68edixYwe++uorjBw5EpcvXxZarWvWrMG8efMgl8sRGxtb4TlKE2NQUBBO\nnjyJoKAg+Pv74+7duwBKusLt7OwwZswYvPPOOzh69CieeOKJKmNetmwZHBwc0LdvX4hEIvx/e3ce\n1tSV/gH8SwKyhAAag0iRgoosFsWxWHRU3EWpChHBulSwWmVc2qLzGzqKUnDcdbQVxXFpK65t1VJk\ncamCy6DiUB3BugMyoqioLDELhPP7w+EOgQARkUB8P8/D83CX3Lx3Ofe9596Te3r16gXg5RXl/fv3\nYWRkpPYZX19fjQm+Sv/+/ZGUlITc3Fz4+fnBzs4OQUFB+Oqrr+Dv7w8XFxe1+VNSUnD48GFkZmbC\nyckJYWFhmDNnDk6ePAkAOHHiBOLi4pCeng47O7t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"text": [ "" ] } ], "prompt_number": 19 }, { "cell_type": "code", "collapsed": false, "input": [ "survival_and_stats(combo.ix[pts].dropna(), surv, colors=colors_th)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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TT+Pxxx/HwoULAQCdO3fGX//6V7z00kv48ccfERsbiwMHDlg9DjbXEwHq3zeh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\nciXUajU++ugj9OnTB02bNq1Urnnz5ig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" ], "metadata": {}, "output_type": "pyout", "prompt_number": 21, "text": [ "stage Stage i Stage ii Stage iii Stage iv nx\n", "TP53 \n", "False 7 17 12 29 6\n", "True 7 20 24 106 22\n", "\n", "[2 rows x 5 columns]" ] } ], "prompt_number": 21 }, { "cell_type": "code", "collapsed": false, "input": [ "clin_stage = clinical.processed.stage.ix[keepers_o].dropna()\n", "clin_stage.name = 'Clinical_Stage'" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 22 }, { "cell_type": "code", "collapsed": false, "input": [ "survival_and_stats(clin_stage, surv)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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mAFA6//0/FPPfV/CcfYG9FQ4GeeDkK6pT8urCWKP1ObqeiMpwdL2B+fn5ISYmRrGdlJQE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\n9kxhnOHh4UhLS0NpaSlOnjyJ6upqREVFKZy3YcKvS/BA7UWFhw8fxrN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"text": [ "" ] } ], "prompt_number": 23 }, { "cell_type": "code", "collapsed": false, "input": [ "clin_stage.dropna().value_counts()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 24, "text": [ "Stage iv 135\n", "Stage ii 37\n", "Stage iii 36\n", "nx 28\n", "Stage i 14\n", "dtype: int64" ] } ], "prompt_number": 24 }, { "cell_type": "code", "collapsed": false, "input": [ "clin_stage = clinical.stage.clinicalstage.ix[keepers_o]\n", "clin_stage = clin_stage.replace({'stage iva': 'Stage IV', 'stage ivb':'Stage IV', 'stage ivc':'Stage IV',\n", " 'stage iii': 'Stage I/II/III', 'stage i': 'Stage I/II/III', 'stage ii': 'Stage I/II/III'})" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 25 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(clin_stage)\n", "plt.gca().legend().set_visible(False)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "clinicalstage Stage I/II/III Stage IV\n", "TP53 \n", "False 42 29\n", "True 81 98\n", "\n", "[2 rows x 2 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 26 }, { "cell_type": "code", "collapsed": false, "input": [ "surv_models(clin_stage)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Likelihood ratio of full model compared to background: 1.2e-06\n", "\n", "Full model with covariate and age:\n", "\n", " coef exp(coef) se(coef) z p\n", "feature_True 1.203 3.33 0.2814 4.28 1.9e-05\n", "old 0.262 1.30 0.0873 3.00 2.7e-03\n", "\n", "Likelihood ratio test=29.1 on 2 df, p=4.9e-07 n= 250, number of events= 102 \n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "/cellar/users/agross/anaconda2/lib/python2.7/site-packages/pandas-0.13.0_247_g82bcbb8-py2.7-linux-x86_64.egg/pandas/core/indexing.py:344: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_index,col_indexer] = value instead\n", " self.obj[item] = s\n" ] } ], "prompt_number": 27 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Clinical Grade" ] }, { "cell_type": "code", "collapsed": false, "input": [ "grade = clinical.clinical.neoplasmhistologicgrade.replace('gx',nan).dropna()\n", "grade = grade.replace(['g3','g4'], 'g3/g4')\n", "grade.name = 'Grade'" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 28 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(grade)\n", "plt.gca().legend().set_visible(False)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "Grade g1 g2 g3/g4\n", "TP53 \n", "False 14 37 16\n", "True 9 125 44\n", "\n", "[2 rows x 3 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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DIxp+KpS5KiJqjTI8HLEPT8Hpv/8HaDJ+224yQ6ELd/NMQNk1EQpV83moAUBp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\nXFyM2NhYZGe7PptSW1uLGTN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"text": [ "" ] } ], "prompt_number": 29 }, { "cell_type": "code", "collapsed": false, "input": [ "surv_models(grade)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Likelihood ratio of full model compared to background: 2.7e-05\n", "\n", "Full model with covariate and age:\n", "\n", " coef exp(coef) se(coef) z p\n", "feature_True 1.125 3.08 0.304 3.71 0.00021\n", "old 0.276 1.32 0.090 3.06 0.00220\n", "Gradeg2 1.066 2.90 0.527 2.02 0.04300\n", "Gradeg3/g4 0.928 2.53 0.551 1.69 0.09200\n", "\n", "Likelihood ratio test=34.7 on 4 df, p=5.3e-07 n= 245, number of events= 99 \n", " (120 observations deleted due to missingness)\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 30 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Pathologic Stage " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This is only for 232/259 patients " ] }, { "cell_type": "code", "collapsed": false, "input": [ "#st=st.astype(int)\n", "f = clinical.stage.pathologicstage.ix[two_hit.index].fillna('Missing')\n", "f = f.replace('stage iva','stage iv')\n", "f = f.replace('stage ivb','stage iv')\n", "f = f.replace('stage ivc','stage iv')\n", "f.name = 'Pathologic_Stage'\n", "path_stage = f" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 31 }, { "cell_type": "code", "collapsed": false, "input": [ "survival_and_stats(path_stage, surv)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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C/FFnxzZh26H/y/BYvcog8bDugG5YQKjmsegz+R9++AGFhYWIjY3Fr7/+ihdf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\nY1RUVKCqqgoXLlyAvr4+Tpw4gfHjxwMAvLy88Oeff2pUFTTSOi+qsCf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"text": [ "" ] } ], "prompt_number": 32 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(path_stage)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "Pathologic_Stage Missing stage i stage ii stage iii stage iv\n", "TP53 \n", "False 6 7 17 12 29\n", "True 22 7 20 24 106\n", "\n", "[2 rows x 5 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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irrwnUk1PoC1btiA0NBRjxowBAKSlpaFDhw4oLy+3zXpdGdDy8nIAgNlshslk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\nRo0apWDVRP6JeSRSD+aRSD2YRyL1YB6J3ODeaEz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"text": [ "" ] } ], "prompt_number": 33 }, { "cell_type": "code", "collapsed": false, "input": [ "surv_models(path_stage)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Likelihood ratio of full model compared to background: 1.4e-05\n", "\n", "Full model with covariate and age:\n", "\n", " coef exp(coef) se(coef) z p\n", "feature_True 1.1228 3.073 0.2879 3.900 9.6e-05\n", "old 0.2925 1.340 0.0892 3.277 1.0e-03\n", "Pathologic_Stagestage i -1.2169 0.296 0.7625 -1.596 1.1e-01\n", "Pathologic_Stagestage ii -0.3196 0.726 0.3920 -0.815 4.1e-01\n", "Pathologic_Stagestage iii -0.2139 0.807 0.3831 -0.558 5.8e-01\n", "Pathologic_Stagestage iv -0.0374 0.963 0.3078 -0.122 9.0e-01\n", "\n", "Likelihood ratio test=33.6 on 6 df, p=7.87e-06 n= 250, number of events= 102 \n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 34 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Extra Capsular Spread" ] }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Only Clinical Values" ] }, { "cell_type": "code", "collapsed": false, "input": [ "ecs = clinical.processed.spread\n", "ecs.name = 'ECS'\n", "survival_and_stats(ecs, surv)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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W+TiSNz2O5E3nw73X0dxdggMXkzE+qDnsREIcvvIQkTN7AAC+OByHH87eg77/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\nABAbGwsPDw8YGxvD1dUVS5Ys0erNWCZNmoSYmJh6PTcsLAw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"text": [ "" ] } ], "prompt_number": 35 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(ecs.dropna())" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "ECS no yes\n", "TP53 \n", "False 40 5\n", "True 78 46\n", "\n", "[2 rows x 2 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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6V5w5cwYlJRUXBKvVirZt2+LPf/4zRo0ahVmzZsFqtWLlypWObU6dOoU+ffpg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\n48ePx6JFi3Du3DlkZWVhzpw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"text": [ "" ] } ], "prompt_number": 36 }, { "cell_type": "code", "collapsed": false, "input": [ "surv_models(ecs)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Likelihood ratio of full model compared to background: 3.8e-03\n", "\n", "Full model with covariate and age:\n", "\n", " coef exp(coef) se(coef) z p\n", "feature_True 0.960 2.61 0.360 2.67 0.00760\n", "old 0.389 1.48 0.117 3.33 0.00087\n", "ECSyes 0.741 2.10 0.260 2.85 0.00430\n", "\n", "Likelihood ratio test=27 on 3 df, p=5.92e-06 n= 169, number of events= 69 \n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 37 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "With values infered by expression data" ] }, { "cell_type": "code", "collapsed": false, "input": [ "spread_infered = clinical.processed.spread_inferred.ix[keepers_o].dropna()\n", "spread_infered = spread_infered.map({0:'No ECS', 1:'ECS'})\n", "survival_and_stats(spread_infered, surv)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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8UVi04xIOfTAYtv+O7+89bz+a0lfqohLdpxEm88R6439ZW1tj2LBhiIyMxOLF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\nsHhlLKT36K7Z9d577z2cPHkS27Ztw9OnT6FQKHDgwAEUFxd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"text": [ "" ] } ], "prompt_number": 38 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(spread_infered)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "spread_inferred ECS No ECS\n", "TP53 \n", "False 6 65\n", "True 53 126\n", "\n", "[2 rows x 2 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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9V7JYlatfa36fSZtHo2oaHA6o4pC4ggMbwfJzzPax6+fAjv9Uo0ioub6OlG7G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\n", "text": [ "" ] } ], "prompt_number": 39 }, { "cell_type": "code", "collapsed": false, "input": [ "surv_models(spread_infered)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Likelihood ratio of full model compared to background: 5.9e-05\n", "\n", "Full model with covariate and age:\n", "\n", " coef exp(coef) se(coef) z p\n", "feature_True 1.053 2.866 0.2886 3.65 0.00026\n", "old 0.311 1.364 0.0897 3.46 0.00054\n", "spread_inferredNo ECS -0.651 0.522 0.2228 -2.92 0.00350\n", "\n", "Likelihood ratio test=37.1 on 3 df, p=4.38e-08 n= 250, number of events= 102 \n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 40 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Lymph Stage (Clinical)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "lymph_stage = clinical_processed.lymph_stage.replace('n2', 'n2+').replace('n3', 'n2+').dropna()\n", "lymph_stage = lymph_stage.ix[keepers_o].fillna('nx')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 41 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(lymph_stage)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "lymph_stage n0 n1 n2+ nx\n", "TP53 \n", "False 31 9 14 17\n", "True 53 20 76 30\n", "\n", "[2 rows x 4 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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ZCmkBzu1IRAEiLi4OZ8+edZjvt6ioCOXl5YiPj/fIMRUzum8gUQUHo+NfHkXH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\nERERERGRYrCRSkRERERERIrx/+NTQj0qOMj/AAAAAElFTkSuQmCC\n", "text": [ "" ] } ], "prompt_number": 42 }, { "cell_type": "code", "collapsed": false, "input": [ "surv_models(lymph_stage)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Likelihood ratio of full model compared to background: 1.3e-05\n", "\n", "Full model with covariate and age:\n", "\n", " coef exp(coef) se(coef) z p\n", "feature_True 1.134 3.11 0.2889 3.925 8.7e-05\n", "old 0.273 1.31 0.0881 3.104 1.9e-03\n", "lymph_stagen1 0.125 1.13 0.3935 0.317 7.5e-01\n", "lymph_stagen2+ 0.612 1.84 0.2642 2.315 2.1e-02\n", "lymph_stagenx 0.801 2.23 0.2840 2.819 4.8e-03\n", "\n", "Likelihood ratio test=39.4 on 5 df, p=1.94e-07 n= 250, number of events= 102 \n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 43 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "With N0 and N1 grouped" ] }, { "cell_type": "code", "collapsed": false, "input": [ "f = lymph_stage.replace('n0','n0/n1')\n", "f = f.replace('n1','n0/n1')\n", "f = f.replace('Missing', nan).dropna()\n", "f.name = 'N_stage'\n", "lymph_n0n1 = f" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 44 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(lymph_n0n1)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "N_stage n0/n1 n2+ nx\n", "TP53 \n", "False 40 14 17\n", "True 73 76 30\n", "\n", "[2 rows x 3 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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ChAmYOHGiZXvp0qUYNmwY4uLiEB8fj3Hjxjl09U02omUUMGRAoyONich5/G/q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\nrkJggg==\n", "text": [ "" ] } ], "prompt_number": 45 }, { "cell_type": "code", "collapsed": false, "input": [ "surv_models(lymph_n0n1)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Likelihood ratio of full model compared to background: 1.3e-05\n", "\n", "Full model with covariate and age:\n", "\n", " coef exp(coef) se(coef) z p\n", "feature_True 1.134 3.11 0.2889 3.93 8.7e-05\n", "old 0.273 1.31 0.0881 3.10 1.9e-03\n", "N_stagen2+ 0.578 1.78 0.2396 2.41 1.6e-02\n", "N_stagenx 0.767 2.15 0.2616 2.93 3.4e-03\n", "\n", "Likelihood ratio test=39.3 on 4 df, p=5.94e-08 n= 250, number of events= 102 \n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 46 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "N0 / N1, No ECS" ] }, { "cell_type": "code", "collapsed": false, "input": [ "lymph_n0n1_noECS =lymph_n0n1.ix[true_index(clinical.processed.spread_inferred==0)].dropna()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 47 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(lymph_n0n1_noECS)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "N_stage n0/n1 n2+ nx\n", "TP53 \n", "False 38 10 17\n", "True 63 39 24\n", "\n", "[2 rows x 3 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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f9iE6z3ul3gxMv6Rl1pvu9MdBv4VxzwGZqiXyP/56dksURUXNEKkkUvzb8N+X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\nRETkJjaiiYiIiIjcxEY0EREREZGb/h/y2l7Q2OqdQwAAAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 48 }, { "cell_type": "code", "collapsed": false, "input": [ "surv_models(lymph_n0n1_noECS)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Likelihood ratio of full model compared to background: 3.2e-05\n", "\n", "Full model with covariate and age:\n", "\n", " coef exp(coef) se(coef) z p\n", "feature_True 1.203 3.33 0.317 3.788 0.00015\n", "old 0.221 1.25 0.103 2.141 0.03200\n", "N_stagen2+ 0.268 1.31 0.304 0.881 0.38000\n", "N_stagenx 0.808 2.24 0.288 2.802 0.00510\n", "\n", "Likelihood ratio test=27.5 on 4 df, p=1.6e-05 n= 191, number of events= 68 \n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 49 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Lymph Stage (Pathologic)" ] }, { "cell_type": "code", "collapsed": false, "input": [ "f = clinical.stage.pathologicn.ix[two_hit.index].fillna('Missing')\n", "f = f.map(str.upper)\n", "f = f.replace('NX',nan)\n", "f = f.replace('N2','n2+')\n", "f = f.replace('N2A','n2+')\n", "f = f.replace('N2B','n2+')\n", "f = f.replace('N2C','n2+')\n", "f = f.replace('N3','n2+')\n", "f = f.fillna('MISSING')\n", "f = f.map(str.lower)\n", "f = f.ix[keepers_o].fillna('nx')\n", "f.name = 'Lymph_Stage_Pathologic'\n", "pathologic_n = f" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 50 }, { "cell_type": "code", "collapsed": false, "input": [ "survival_and_stats(pathologic_n, surv)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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r16/jxIkT5fITiURYuvTZrliBgYEIDAzU7YNSle2IuY8tJ+Mr7K9fHdoRD9Ly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\nc9PFxcVQVVWVq5WiLteWysvcvn0b3bt35/Zla1GXsh44cAA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"text": [ "" ] } ], "prompt_number": 51 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(pathologic_n)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "Lymph_Stage_Pathologic missing n0 n1 n2+\n", "TP53 \n", "False 17 31 9 14\n", "True 30 53 20 76\n", "\n", "[2 rows x 4 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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x0ISG2Kw/oGhrfYk14q8m+i7ASbfViapy51zWlX+X9lAG2s4LKubgZ0TOIPds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\nXUb9PfvgUwgePxrBD45xVVnkQZhNInl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"text": [ "" ] } ], "prompt_number": 52 }, { "cell_type": "code", "collapsed": false, "input": [ "surv_models(pathologic_n)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Likelihood ratio of full model compared to background: 1.3e-05\n", "\n", "Full model with covariate and age:\n", "\n", " coef exp(coef) se(coef) z p\n", "feature_True 1.134 3.107 0.2889 3.925 8.7e-05\n", "old 0.273 1.314 0.0881 3.104 1.9e-03\n", "Lymph_Stage_Pathologicn0 -0.801 0.449 0.2840 -2.819 4.8e-03\n", "Lymph_Stage_Pathologicn1 -0.676 0.509 0.3854 -1.754 8.0e-02\n", "Lymph_Stage_Pathologicn2+ -0.189 0.828 0.2529 -0.748 4.5e-01\n", "\n", "Likelihood ratio test=39.4 on 5 df, p=1.94e-07 n= 250, number of events= 102 \n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 53 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "With N0 and N1 grouped." ] }, { "cell_type": "code", "collapsed": false, "input": [ "f = pathologic_n.replace('n0','n0/n1')\n", "f = f.replace('n1','n0/n1')\n", "f = f.replace('Missing', nan).dropna()\n", "pathologic_n0n1 = f\n", "pathologic_n0n1.name = 'path_n0n1'" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 54 }, { "cell_type": "code", "collapsed": false, "input": [ "survival_and_stats(pathologic_n0n1.ix[keepers_o].fillna('Missing Pathology'), surv)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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AqampqFmzJjIyMmBvb69SH7vrjUvhbvwPezXF3YQMxCRl4etvxquMxwvs7FDn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\n0aNZSUkJKywsZObm5iwnJ0cl1hMnTjCRSMR27tzJcnNzVYY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"text": [ "" ] } ], "prompt_number": 55 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(pathologic_n0n1.ix[keepers_o].fillna('Missing Pathology'))\n", "plt.gca().legend().set_visible(False)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "path_n0n1 missing n0/n1 n2+\n", "TP53 \n", "False 17 40 14\n", "True 30 73 76\n", "\n", "[2 rows x 3 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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D4u2jiisOMmzQCZQnRSKXBISFOt0ek5LscIK2FZdenwdeAHLmL633iVnQhV87SEUqNYSQ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\ngU53QNstDt32rEf+FxsAm81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"text": [ "" ] } ], "prompt_number": 56 }, { "cell_type": "code", "collapsed": false, "input": [ "surv_models(pathologic_n0n1)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Likelihood ratio of full model compared to background: 1.3e-05\n", "\n", "Full model with covariate and age:\n", "\n", " coef exp(coef) se(coef) z p\n", "feature_True 1.134 3.108 0.2889 3.925 8.7e-05\n", "old 0.273 1.314 0.0881 3.100 1.9e-03\n", "path_n0n1n0/n1 -0.767 0.464 0.2616 -2.932 3.4e-03\n", "path_n0n1n2+ -0.189 0.827 0.2529 -0.749 4.5e-01\n", "\n", "Likelihood ratio test=39.3 on 4 df, p=5.94e-08 n= 250, number of events= 102 \n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 57 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "N0 / N1, No ECS." ] }, { "cell_type": "code", "collapsed": false, "input": [ "pathologic_n0n1_noECS = pathologic_n0n1.ix[true_index(clinical.processed.spread_inferred==0)].dropna()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 58 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(pathologic_n0n1_noECS.ix[keepers_o].fillna('ECS / Missing'))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "path_n0n1 ECS / Missing missing n0/n1 n2+\n", "TP53 \n", "False 6 17 38 10\n", "True 53 24 63 39\n", "\n", "[2 rows x 4 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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1asvXBAezcz6F2h+i2Pb0RKJEz1ZKXkir1WLcuHGYPn06VqxYAb1ej8TEREye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\n", "text": [ "" ] } ], "prompt_number": 59 }, { "cell_type": "code", "collapsed": false, "input": [ "surv_models(pathologic_n0n1_noECS)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Likelihood ratio of full model compared to background: 3.2e-05\n", "\n", "Full model with covariate and age:\n", "\n", " coef exp(coef) se(coef) z p\n", "feature_True 1.203 3.329 0.317 3.79 0.00015\n", "old 0.221 1.247 0.103 2.14 0.03200\n", "path_n0n1n0/n1 -0.808 0.446 0.288 -2.80 0.00510\n", "path_n0n1n2+ -0.540 0.583 0.322 -1.68 0.09400\n", "\n", "Likelihood ratio test=27.5 on 4 df, p=1.6e-05 n= 191, number of events= 68 \n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 60 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(clinical_processed.spread_inferred.dropna().map({1:'ECS',0:'No ECS'}))\n", "plt.gca().legend().set_visible(False)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "spread_inferred ECS No ECS\n", "TP53 \n", "False 6 65\n", "True 53 126\n", "\n", "[2 rows x 2 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 61 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Tumor Weight" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* This is from the biospecimen file.\n", "* We do not know if this is standardized" ] }, { "cell_type": "code", "collapsed": false, "input": [ "bsc = pd.read_table('../Extra_Data/HNSC_Followup/biospecimen_tumor_sample_hnsc.txt', \n", " index_col=0, na_values=['[Not Available]'])\n", "tw = bsc.tumor_weight.dropna()\n", "tw = tw.groupby(level=0).first()\n", "\n", "tn = bsc.tumor_nuclei_percent.dropna()\n", "tn = tn.groupby(level=0).first()\n", "\n", "ts = bsc.tumor_necrosis_percent.dropna()\n", "ts = ts.groupby(level=0).first()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 62 }, { "cell_type": "code", "collapsed": false, "input": [ "tw.clip_upper(500).hist()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 63, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 63 }, { "cell_type": "code", "collapsed": false, "input": [ "tumor_weight = (tw >= 200)*1. + (tw > 200)*1\n", "tumor_weight = tumor_weight.map({0:'200-', 1:'200', 2:'200+'})\n", "tumor_weight.name = 'weight'\n", "survival_and_stats(tumor_weight, surv, figsize=(6,4))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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PfzIOhq6J6Va1cGbsi3sw9uDLCO82E0PbWKdvvbbV8StaZuABmrR0NFj2oVXi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\n3j2kpaWhU6dO8PT0xIwZMyCXy7kIV6faPodM/R1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"text": [ "" ] } ], "prompt_number": 64 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(tumor_weight)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "weight 200 200+ 200-\n", "TP53 \n", "False 24 8 37\n", "True 73 29 70\n", "\n", "[2 rows x 3 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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sWbIEAQEBKC8vx9mzZ3H+/HlUVFRYfZ9er0dycjJSU1ORm5uL6OhopKWlmWxT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\nEnkeyR+2UllZidDQa+WYvvn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"text": [ "" ] } ], "prompt_number": 65 }, { "cell_type": "code", "collapsed": false, "input": [ "surv_models(tumor_weight)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Likelihood ratio of full model compared to background: 1.3e-05\n", "\n", "Full model with covariate and age:\n", "\n", " coef exp(coef) se(coef) z p\n", "feature_True 1.106 3.022 0.2840 3.89 9.8e-05\n", "old 0.263 1.301 0.0877 3.00 2.7e-03\n", "weight200- -0.587 0.556 0.2479 -2.37 1.8e-02\n", "weight200+ 0.505 1.657 0.2678 1.89 5.9e-02\n", "\n", "Likelihood ratio test=43.9 on 4 df, p=6.84e-09 n= 241, number of events= 101 \n", " (59 observations deleted due to missingness)\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 66 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "Tumor Necrosis" ] }, { "cell_type": "code", "collapsed": false, "input": [ "tn.hist()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 67, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 67 }, { "cell_type": "code", "collapsed": false, "input": [ "tumor_nec = (tn >= 70)*1. + (tn > 70)*1\n", "tumor_nec = tumor_nec.map({0:'70-', 1:'70', 2:'70+'})\n", "tumor_nec.name = 'tumor_necrosis'\n", "survival_and_stats(tumor_nec, surv, figsize=(6,4))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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TJk0AOHDgAD4+PrRv355z587RuXNnvvxSfkkWR9/AUPoGhjJ97zT6NOhL6xr3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\nIDExEd26dXvl+Dw9PXHw4EFuuUePHli8eDEuX74MoPYkXV1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"text": [ "" ] } ], "prompt_number": 68 }, { "cell_type": "code", "collapsed": false, "input": [ "st_plot(tumor_nec)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Counts for plot below:\n", "\n", "tumor_necrosis 70 70+ 70-\n", "TP53 \n", "False 36 32 3\n", "True 120 51 7\n", "\n", "[2 rows x 3 columns]\n", "\n", "\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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mKpFvkn0M9EsvvYSOHTuiV69e6Nu3L/r27YtBgwahe/fuch/K70ihF8d6nfnn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\nWp8fsX6SBzP91X+w/22tMDg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"text": [ "" ] } ], "prompt_number": 69 }, { "cell_type": "code", "collapsed": false, "input": [ "surv_models(tumor_nec)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Likelihood ratio of full model compared to background: 3.5e-06\n", "\n", "Full model with covariate and age:\n", "\n", " coef exp(coef) se(coef) z p\n", "feature_True 1.160 3.190 0.2823 4.11 0.00004\n", "old 0.254 1.289 0.0882 2.88 0.00400\n", "tumor_necrosis70- 0.615 1.850 0.6012 1.02 0.31000\n", "tumor_necrosis70+ -1.008 0.365 0.2678 -3.76 0.00017\n", "\n", "Likelihood ratio test=50.1 on 4 df, p=3.51e-10 n= 249, number of events= 102 \n", " (118 observations deleted due to missingness)\n" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 70 } ], "metadata": {} } ] }