{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# slalom tutorial " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this notebook we illustrate how slalom can be used to identify biological drivers on the mESC cell cycle staged dataset." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, we load some modules and set some directories" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "import os\n", "import slalom\n", "import pdb\n", "from slalom import plotFactors, plotRelevance, plotLoadings, saveFA, dumpFA\n", "%pylab inline\n", "\n", "#specify where the hdf5 file is\n", "data_dir = '../data/'\n", "out_dir = './results'\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "slalom expects an expression file, typically with log transformed gene expression values as well as a gene set annotation. These data can be provided as single hdf5 file, which can be generated using separate R scripts (in the R folder). Alternatively, the expression matrix and the annotation can be loaded as text files in python. \n", "\n", "\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Loading raw expression data and gene set annotations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "By default we here load the MsigDB annotation, which needs to be downloaded separately from the Broad web page. " ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loaded 182 cells, 6635 genes\n", "Annotation: 50 terms\n" ] } ], "source": [ "####\n", "#Option 1: load a pre-defined hdf5 file\n", "#We provide an (optional) hdf file with the required data - this was generated using\n", "#the R script write_slalom.R in the R folder\n", "if 0:\n", " annoDB = 'MSigDB'\n", " dFile = os.path.join(data_dir,'Buettneretal2015.hdf5')\n", " data = slalom.load_hdf5(dFile, anno=annoDB)\n", " \n", "####\n", "\n", "####\n", "#Option 2: load the annotation and the data directly\n", "if 1:\n", " #Annotation file\n", " annoFile = os.path.join(data_dir,'h.all.v5.0.symbols.gmt.txt') #MSigDB\n", " annoDB = 'MSigDB'\n", " if not os.path.exists(annoFile):\n", " raise Exception(\"MSigDB annotation file needs to be downloaded manually\")\n", " #Note: the license of MSigDB does not permit redistribution of the raw annotation files.\n", " #Please register at http://software.broadinstitute.org/gsea/msigdb and download the\n", " #hallmark gene sets and place the file in data folder.\n", "\n", " #dataFile: csv file with log expresison values\n", " dataFile = os.path.join(data_dir,'Buettneretal.csv.gz') # note that the first column (row names) contains the cell cycle stage in numeric form\n", " data = slalom.utils.load_txt(dataFile=dataFile,annoFiles=annoFile,annoDBs=annoDB)\n", "####\n", "\n", "###alternatively the data can be loaded from the provided hdf5 file\n", "#dFile = 'Buettneretal2015.hdf5'\n", "#data = slalom.load_hdf5(dFile, data_dir=data_dir)\n", "\n", "\n", "#print statistics for the loaded dataset\n", "print (\"Loaded {:d} cells, {:d} genes\".format(data['Y'].shape[0],data['Y'].shape[1]))\n", "print (\"Annotation: {:d} terms\".format(len(data['terms'])))" ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "# Initializing the slalom model" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/flo/projects/Auto_Bionf/scLVM2/slalom/core.py:392: RuntimeWarning: divide by zero encountered in true_divide\n", " logPi = SP.log(self.Pi[:,m]/(1-self.Pi[:,m]))\n", "/Users/flo/projects/Auto_Bionf/scLVM2/slalom/core.py:394: RuntimeWarning: divide by zero encountered in true_divide\n", " logPi = SP.log(self.Pi[:,m]/(1-self.Pi[:,m]))\n" ] } ], "source": [ "#I: indicator matrix that assigns genes to pathways\n", "I = data['I'] #if loaded from the hdf file change to I = data['IMSigDB']\n", "#Y: log expresison values \n", "Y = data['Y']\n", "#terms: ther names of the terms\n", "terms = data['terms']\n", "\n", "#gene_ids: the ids of the genes in Y\n", "gene_ids = data['genes']\n", "\n", "#initialize FA instance, here using a Gaussian noise model and fitting 3 dense hidden factors\n", "FA = slalom.initFA(Y, terms,I, gene_ids=gene_ids, noise='gauss', nHidden=3, minGenes=15)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model training" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "iteration 0\n", "iteration 100\n", "iteration 200\n", "iteration 300\n", "iteration 400\n", "iteration 500\n", "iteration 600\n", "iteration 700\n", "Converged after 701 iterations\n", "Maximally 4.6875 % Genes per factor changed.\n" ] } ], "source": [ "#model training\n", "FA.train()\n", "\n", "#print diagnostics\n", "FA.printDiagnostics()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we plot the results, including factor relevance, gene set augmentation and a scatter plot of the two most relevant factors, in this case G2M Checkpoint and P53 Pathway. " ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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9VgObdaAWSZIkSWqMJgW/+cBOA/R5LnBv9aVIkiRJUnM0KfhdDrwhIp7X38WI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\nsp19vpZMXjJA0o+aB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5krTEIzdB5srXCk3ieLpInJRbUWk68LS75x1HzZwzCehIwpiq5Bf2fqJJXP+a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\nS+Xuf3f3pdkJNXO8F/giwXrX0yIJrkb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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#plot results\n", "\n", "fig = plotRelevance(FA)\n", "\n", "#get factors; analogous getters are implemented for relevance and weights (see docs)\n", "X = FA.getX(terms=['G2m checkpoint','P53 pathway'])\n", "\n", "#scatter plot of the top two factors\n", "fig = plotFactors(X=X, lab=data['lab'], terms=['G2m checkpoint','P53 pathway'], isCont=False)\n", "\n", "\n", "#the same plot can be generated by passing the FA object to the plot function\n", "#plotFactors(FA=FA,idx1=0,idx2=1, lab = data['lab'], isCont=False )\n", "\n" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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grKTEB5Wfm9lNMcc3EwZPLpD0Z8Jn+v3o3CvA7o1ows2ExbHON7NXAczsBUlT\nCHt+XA+c07i7cs4555pfew8oandcSzdPT0IwAXBQ9Eq0BNgYUJjZrZL+C/wE+DHwOfA3whLef0pR\nf512SSoiDOJ80sxuTMh/NSFIOUvSP8ws5YZnzjnnXDa024DCzJYAqRemD3nmxOZJ55oU5dwB3JHk\n1Oh022Vm5anqtrCI/qjGtss555xrKb70tnPOOecy5gGFc8455zLWbh95OOfap4UL28zsaeeaVGv/\nd7/DBhSSJhP2zRhlZv9MOHcOYe+O7YBuwHlm9usWb6RzbqO+ffvSvXt3jj322Gw3xbms6d69O337\n9s12M5JqNwGFpAHAIuAfyfbukHQu8CvgfcKMiaQzQCQdTdhifH70vg54XlJv4EjgEGBXYBvCctv/\nBm40sydTtGtzwu6hxwLbAp8RZoFcUrtuhXOuYf3792fhwoV8+umn2W6Kc1nTt2/fOvu4tBbtJqCo\nT7SOw6WE3ULHmtlHkm4mLCKVuA3fIYRA4xAzq44p4zTCYlUfErYl/xD4FlAMHCTpAjO7IaFeAY8A\nY4HngD8T1pn4MTBG0nAzW97U9+tce9W/f/9W+z9T5zq6dh9QSLqFsPX3i8APzOwzgOj9sySXbB2d\nr05Ifws4zMweSyj/F1HZV0maYWYfx5w+kRBMzDCz42KuqQ1OfgGcsel355xzzrUO7XaWh6TOkmYQ\ngomZwPdqg4no/GRJNZJGRMcnSKohrB2h6FyNpA0AZjY7MZiI0t8BHiQss71fwulTCL0dFydc81ug\nEpgQLdNd26Z8SVMkPSepWtJaSYsk3SqpX8YfinPOOddM2mUPhaSuwF+Ag6P3Y8zs64RsiWMoFhB2\nDq3dcnwyINLbi6O27PUxbegC7AO8ZWbvJ7nmKcLAz70IG4ABjABKCQHQ81G5exJ6McZKGmpmX6TR\nHuecc65FtceAoidhc68CYDpwarTSZL3M7BXgFUmjgf5mdmU6lUnqQRisuZawiVetwYQeoHdSXFqb\nvgP/CyhmAluZ2VcJdRwL3AucDUxNp13OOedcS2qPjzz2BQqB58zslHSCiQz9FsgDrjKzFTHptXuC\nrExx3SpCD0htPszs08RgIjIjyn9A5s1tIdXVUFgIgweH908+yXaLnHPONaP2GFC8SZiBsZ+kS5uz\nIklTgRLg7zRRz4GkIklPSPpE0tfRuI4NhJ6XrZuijhZRXAwVFVBZGd6LirLdIuecc82oPT7yeB8Y\nB8wGpkhCFuj/AAAgAElEQVTKMbMpTV2JpCuBScDTQHGSnpDanolckutJGJ+xsQdD0vnAdcAnwBPA\nB8Ca6HQp0IUGlJaWkpsbX2VJSQklJSUNXdq0qqrqP3bOOZexsrIyysrK4tJWrkzVMd682mNAgZlV\nShoJPANcLqmTmV3WVOVHwcTPo/IPN7N1SbK9B9QQxkgkU5v+TlRmJ+AS4CNgj8T1KSRNSqdt06ZN\nY+jQoelkbV75+aF3IvbYOedck0r2g3H+/PkMGzasxdvSHh95AGBmiwhbfi8GLpF0dVOUGxNMzAIO\nNbO1KepfR1if4tuStk2S5fvAauCl6LgvoTfjuSTBxN6EJcDbjvJyKCiAQYPCe3l5tlvknHOuGbXL\nHopaZrYk6qmYBVwU9VSk9Us/GUlXEIKJOdQTTMT4HTCcML5i4wYEkk4HBgG3x/RufEJ4vDFUUjcz\nWxPl3RK4eVPbnDV5eTB3brZb4ZxzroW064ACwMzejwkqLpDU2czOb2w5kk4kPJL4mtCrcGFYWTvO\nbDObE3N8L/AjoETSIEIgsgMwnvBIZOOgUTMzSb8B/o8wffVRwjiLgwm9LB81ts3OOedcS2lvAUXS\nDb/M7MOYoOK8aI+N+katJJtqOiBK70z40k913caAwsxqJB1O2BzsOOA8wnLfdwCXJtnH4yJgOWHJ\n7jOAauABwiJbb6Rol3POOZd1av5lGlxLkDQUmDdv3rzWMSjTOedcVsQMyhxmZvNbqt52OyjTOeec\ncy3HAwrnnHPOZcwDCuecc85lzAMK55xzzmXMA4oEkgZIqkl4rZO0VNIMSbs1U72DJE2W9LCkD6J6\nKxu+0jnnnMu+9jZttCm9C9wf/d2DsEBVCTBe0vfM7Lkmrm9/4DJgPbAQ2KqJy3fOOeeajQcUqb1r\nZlfEJsQsu30VMKaJ65tDCFpeMbN1ktY0dIFzzjnXWvgjj8apXQJ7bwBJd0ePJgZKOl/SG5LWSroz\n9iJJJ0r6p6QVklZLelvSbZK+VZvHzBab2YspNhpzzjnnWjXvoWgcS/JuwC3Ad4HHgEcI+3IQrcj5\nR6CYsBX5A8AqYCBwFPD3KN0555xr0zygaJyzo/cXYtIE7AZ8x8w+TMh/FiGYeIqEbc4ldaGt7SDq\nnHPOpeABRWrbS7o8+nsLQg/E/oQdQX8ek8+AXyYJJgDOJAyyPCPxUUZ07I83gOrqaoqLi6mqqiI/\nP5/y8nLy8vKy3SznnHON4AFFaoMJsy4g7DBaTZj1ca2ZvZGQ99+JF0vaAhgCvGNmPv2zHsXFxVRU\nVABQWVlJUVERc33rc+eca1M8oEjtCTP7QZp5q5Ok5UbvyXoumk1paSm5ublxaSUlJZSUlLRkMxql\nqqqq3mPnnHPJlZWVUVZWFpe2cmV9m2k3Hw8omkayLVtr/4lu05INmTZtWpvbbTQ/P5/Kysq4Y+ec\ncw1L9oMxZrfRFuUBRTMxs9WS3gR2lDTYzN7Ldptaq/LycoqKiuLGUDjnnGtbPKBoXrdGr99IGmdm\na2tPRLM8upvZiqy1rpXIy8vzMRPOOdfGeUDRjMzsNkkjCGtOvCPpEcI6FAOAscBJhHUrkNQHuIHw\n+ETAZkBfSXfFFHm+mX3WgrfgnHPOpcUDiuRqF6xKN2/qk2Ylkp4EfgwcRwgWPgT+AMyLydoDOD6h\nvC2itNp6Lgc8oHDOOdfqeECRwMyWAJ3SzDsRmJhGvruAuxrIswRfCt0551wb5V9gzjnnnMuYBxTO\nOeecy5gHFM4555zLmAcUzjnnnMuYBxTOOeecy1irDSgkDZBUE70eT5Hnu9H5O1u6fc1B0qGSfi1p\nrqQvo3u7rOErnXPOuexqtQFFDAMOlDQq2w1pAecDZwG7ENaqSHctDOeccy6r2kJAsRioAa7Ncjta\nwiXAjma2JWHrdGW5Pc4551xa2kJA8RZwH7CXpB82lFnSYkmVKc7NllSTkNZF0vmSFkj6PHrUsEjS\ng5J2i8nXU9KkqIwPJa2L3u+RNChJXZOjRxYjJJ0s6VVJayR9IOlXknokXmNmFb6JmHPOubaoLQQU\nAJcC64CrJDW0imV9jwmSLal9L3BdlH4ncDNQARQCe8fk2wmYDHwFlAPTgH8DJcALkrZNUdf5wI3A\ni9E1HwHnAU9I8pVKnXPOtQtt4gvNzD6UdAvhy/k04DdNUa6knsCRwL/N7LsJ5wR8IybpTSDfzD5P\nyDcSmEl4XHFaYhWETcD2MrM3orSLJd1PCER+QggyXAOqq6spLi6O2+I8Ly8v281yzjkXaSs9FABX\nAyuBSyV1b6Iya3f2XFfnRLAq5viLxGAiSp8DvAEckKKOe2KCiVoXE8aFnLiJ7e5wiouLqaiooLKy\nkoqKCoqKirLdJOecczHaRA8FgJl9Luka4Brgp8AVTVDmF9GU1IMlzQP+DMwm9FisT8wfzTQ5D9gH\n6Ev851cnKCEELHOT1LtU0vvALpI6J6trU5WWlpKbmxuXVlJSQklJSVNVkRVVVVX1HjvnXEdUVlZG\nWVlZXNrKlSuz0pY2E1BEbgLOBs6XdFsTlXkkocfgGOAXhB6LVZLuAi42szUA0YDQPwBfAE8QZp98\nRQgaJgL9U5RfXU/6AMJjlRVNcSMA06ZNY+jQoU1VXKuRn59PZWVl3LFzznV0yX4wzp8/n2HDhrV4\nW9pUQGFm6yRdDkwnTKu8P0m2GmCzFEXkJiaY2dqorMskDQBGA6cD5wJdgTOirJOBNcBQM4ubRSKp\nvp//36wn3QgBimtAeXk5RUVFcWMonHPOtR5taQxFrXsIYxZOAbZPcn4FkCcp7t6icRc71FewmS0x\ns7uBUcCXwOExpwcBC5MEE/nRuWQE7F8nUeoPbAu83pSPO9qzvLw85s6dy3vvvcfcuXN9QKZzzrUy\nbS6gMLMawiOKzQm9BonTQP9N6KGYkJB+DbBFbIKkvpJ2SVJNb6ALsDYmbQmwvaR+Mdd3AW4jdY8I\nwPGx61lEphI++7vruc4555xrM9rUI49aZvaopLmEtSIS3UIY0zBd0lhgGaGXIBd4Bdg9Ju82wMuS\nXgFeJSx33QcYR/hsrovJezPwa2CBpD9H578fnUssd2NTCeMtnpP0h6gtBwDDgGejtm4kaRxwRHS4\nXfQ+XlLt3/8xs46wYqhzzrk2prX3UCRbiKrWpJjzG/NEUzQPBF4CioFjgdeBAuDzhPIWA5dH6d8D\nSoEfRNceZGa3x5R7K2FsxXLgx4Qv/lnAfknKjfUrwnoT+xDGZeQT1p44MMnjju8Ax0ev/aMyd49J\nOzBFHc4551xWycz3n2oO0eDRy4DRZvbPFqhvKDBv3rx57XKWh3POufTEzPIYZmbzW6re1t5D4Zxz\nzrk2wAMK55xzzmXMAwrnnHPOZaxDBxT1bXWeKTObYmadWmL8hHPOOZdt7SKgkDRSUo2kOxuZp1lH\npEraQ9KVkp6TVC1praT3JN0qaevmrNs555xrSe0ioGjFbicswgVQRtiL5H3Cct4vS9oxWw1zzjnn\nmlKbXNiqDbkfmJBkue4LgGuBG4DDstEw55xzril5DwUgKVfSbyVVSVojab6ko+vJf5KkuZJWSlot\n6d+SJibmM7NbE4OJyA2EnUpHpih/d0kzJL0fPSb5SNLfJR26yTfpnHPONSPvoQh7gjxN2Ofj3uj9\nKOABSX2iFTI3kjQDKAHeBmYA/yUswT1d0k5mdmEadRqwIXrFkVQclQvwKPAWkAd8FzgJ+Ftjb9A5\n55xrbh5QhKWw3wb2rV0KW9LVwALgOknlZlYVpZ9CCCbuBE4zsw1RemfgL8D5ksrM7OUG6vwh8A3g\nwdhESXmE3VT/CxSa2asJ530gp3POuVbJH3kEF8fuq2FmHxEGUHYBYh99nE3Y1vys2mAiyr8e+Dlh\nu/KS+iqStC1hk7GvCEtzxzoR6AZcnxhMxLSrw6uurqawsJDBgwdTWFjIJ598ku0mOedch+c9FLDe\nzJ5Pkv4vQoCwJ4CkbsCuhB1JL5KUmH/z6H1Iqook9QYeB/oCx5nZOwlZ9o7en2rMDXQ0xcXFVFRU\nAFBZWUlRURFz587Ncqucc65jay8BRU30Xl+PS+25moT0T1Pkr47ec6P3LQkBxjbU7VmoZUD3ZCei\nYOIZYCfgdDMrS5Kttq4PU5TfoNLSUnJzc+PSSkpKKCmpt+OkTamqqqr32DnnOoqysjLKyuK/Tlau\nXJmVtrSXgKL20+tTT56+CXkT0xN9MyH/quh9npnt05jGxQQTuwFnmtnvU2T9PHrfBljamDpqTZs2\nrd3vNpqfn09lZWXcsXPOdUTJfjDG7DbaotrLGIq3CAMZ95aU6p72I/QgJI5N6Cxp3yT5R0TvLwOY\n2ZfAQmAnST3TbVhCMHG2mf22nuwvEnpBxqZbfkdUXl5OQUEBgwYNoqCggPLy8mw3yTnnOrx2EVCY\n2Trgj0A/4NLE85J2A04m9DL8NUkRV0vaLCb/t4BzgbXAH2Ly/ZowrfT3kuo82pA0UNKAmOMtgZmE\nYOIcM7utgVu5hzDo83xJeyQp32d5AHl5ecydO5f33nuPuXPnkpeXl+0mOedch9deHnkAnA/sA1wW\nLQA1hxAQ7AgcHuU5xsxWJVxXRQgSXpX0KNCDMK2zNyEI2PiA3sx+K+m7wAlAgaSngY8Ij0eGRPUf\nAyyJLvkrsAehZ6OvpMuTtHtabZvMbJmk4wnLdL8o6RFC70tfwjoUi4CiTflwnHPOuebUbgKK6Mt4\nb6AUOAI4lTDz4mNC78UNZvZKkkvXERamugY4FuhFCADOMrM/JqnnJEmPA6cAhxACkE+AdwhBzdMx\n2QcQHrMMIfVAzrv43/gMzOyhKGj5GWElzcMIA0cXAHc0+EE455xzWSCzZt1w07UQSUOBefPmzWv3\ngzKdc86lFjMoc5iZzW+petvFGArnnHPOZZcHFM4555zLmAcUzjnnnMuYBxQtTNJkSTWSRjSc2znn\nnGsbPKCoh6Q7oy//ZbHrVGTIopdzzjnXbnhAkYKkLQjrUdQQ1qQ4Irstcs4551ovDyhSKyFs9DWN\n0KNwcnab45xzzrVeHlCkdjKwHvglMAs4QNK2iZkkLZZUKWkLSTdJ+lDSWkmvSCpOpyJJA6JHK3dK\nGizpr5I+k/SlpKck7d60t+acc841LQ8okpC0E2Gp6yfMbBlwL+GzmpgkuwGbAU8CBwB/Bu4DBgEP\nSjqgEVVvBzxPWK1zelTm94BnJPXbtLtxzjnnmp8HFMn9mBAo3BcdlwOrSR5QAGxNWOJ7DzM718xO\nAcYRPt//a0S9I4BrzWy0mV1gZkXAL4At66nbOeecyzoPKBJI6kzY02MV8AiAma0mbPTVv54eh1Iz\nW197YGbPEDYJ27sR1S8ys+sT0qYTtjRvTDkdW3U1FBbC4MHh/ZNPst0i55xr9zygqOsIwjbof4y2\nRa91L+GL/aQk13xuZkuTpH9AeHyRrgUpyqCR5XRsxcVQUQGVleG9yDdodc655tZudhttQicT/7ij\n1jPAh8ARknqZ2ecx51amKGs9jQvaErdWx8w2SALolE4BpaWl5ObmxqWVlJRQUlLSiGa0cVVV9R87\n51w7UVZWRllZWVzaypWpvpKalwcUMSRtQ9jKHOCf0Rd5IiM8ErmlpdrVGNOmTfPdRvPzQ+9E7LFz\nzrVDyX4wxuw22qI8oIh3EqFH4V/AW0nOdwZOJPRitMqAwgHl5eExR1VVCCbKy7PdIueca/c8oIh3\nImFlzOPNbEmyDJK+DQyXNLQl95l3jZCXB3PnZrsVzjnXofigzIik7xHWgZiTKpiI3EUYnOkrZzrn\nnHMRDyj+5yTC+Ii7G8j3ILAGOFpSlyitvs2+0t0IrL5Nw3xDMeecc62aP/KImNkEYEIa+b4AtohJ\n2q6evKOTpE0BpiSkLaGeWRxmltYMD+eccy5bvIfCOeeccxnzgMI555xzGfOAwjnnnHMZ84DCOeec\ncxnzgCIJSZMl1UgakUbeAVHeO1uibc4551xrlFFAIanO9ZL2lXSVpEslfSuT8jNoV+2XfI2kD5O1\nM8o3JCZfzFrNjZ6mmTK/pH6SfiXpbUlrJH0q6VlJpyfkuzymLaledzSiTc4551yL2eRpo5KmAWdI\nyjezFVHakcAf+F+g8pNoRckPUpXTzL4GtgJ+APwtyfkfAxsyrONDYCeSbBAm6TvAk0Au8BjwJ6BH\nlP9Q4PaY7LNIHcScAmwN/CPDtjrnnHPNIpN1KEYDz9QGE5ErCF+s5xK+yKcCPwXOy6CeTDwL7EFY\ntCouoJDUibDuxNPAqE2twMzWA28npkv6BvAwYSnvoWb2RsL5uF4TM/sn8M8k5eQBlwDLo/Kcc865\nVieTRx7fAt6pPZC0HTAE+LWZ3W9m1wOPAwdl1sSMrCH0mBwiqW/CucOAPCDtsQ+SdpX0gaTlkvaL\n0lKNoTiL8BlNSgwmAMysJs1qJxICv3uj4MU555xrdTIJKLYAVsccjyR02f89Ju1NwpdqNt0JbAYc\nl5B+EvAZ8FA6hUgqJOxCugEoNLNnG7jkR4TPo1zStyWdLekCSYdJ2qwR7a9dEnx6I65xzjnnWlQm\nAUUV8O2Y44OAL4F5MWk9gXUZ1JExM3sJeJ3wxQyApG8S2nu/mX3dUBmSDgeeAD4CCsxsYQP5NwN2\nBZYB5wBvADcB1xAeWyyUtGsa9RYCOwDPNVSna1rV1dUUFhYyePBgCgsL+eSTT7LdJOeca9UyCSjm\nEB4lnC3px0AR8ISZxQ5yHAxka0BmrDuBnSXtHR2fSNg7o8HHHZJOBv4CvALsn+YA095R+X2BSwnj\nSL5J6K25grD/xyOSNm+gnB8Teid+n0adrgkVFxdTUVFBZWUlFRUVFBUVZbtJzjnXqmUyKPMq4AjC\nL28RHn9Mrj0ZDUocQcO7d7aE+4BrCb0U/yYEFC+b2WsNXPd/wOGExzhHmtmaNOvLiXn/tZndGHNu\nsqQhwA+BI4EHkhUQfX5HEnp9/phmvZSWlpKbmxuXVlJSQklJSbpFOKCqqqreY+ecaw3KysooKyuL\nS1u5ss6kwxaxyQGFmb0raWegOEp6NNo1s9YOwG9J8YXZksxsuaRHCVuO/5nwqOasBi4TUEjoIXiy\nEcEExE8hfTTJ+UeAo4C9SP35HAN0B+4ws6/SrXjatGkMHTo03ewuhfz8fCorK+OOnXOutUn2g3H+\n/PkMGzasxduS0fblZlYF3JLi3HxgfiblN7HphMcydwNraTjQMeBkwpTNaZI2mFnSe61zodlXkj4k\nrB3xeZIstWnd6inmZHwwZtaUl5dTVFREVVUV+fn5lJeXZ7tJzjnXqmUUUNSKeiqGAFuY2X1NUWYz\neIKwCNXWQJmZpdMntAL4HmGtil9LkpndnGZ9zwDHAjsDCxLO7RK9L052YTRgcy/gNTN7Mc36XBPK\ny8tj7ty52W6Gc861GZkuvb23pAXAa4RVIO+OOTdC0lfRDImsi9Z9GAeMBy5uxHWrgAOAF4CbJJ2T\n5qW3Ex6bXCRp46AGSVsRFv7aQBjsmUztYEzvnXDOOdcmbHJAIWkXwq/w7YBpxK8/AWHNhk8Jgw9b\nBTObb2aPmNnSRl63ChgLPA/cKKnBlT/N7DngV4TeiFcl3SLpt4Teinzg52b2buJ10ZTTY4H/Avc3\npp3OOedctmTSQzEleh9mZj8lzJ7YyMwMeA7YO/HCFrIpG3ylPmn2BSGoeBa4QVJpQ3VFn8tE4GPg\nBKAE+A8w3sx+maKqI4Atgb+a2WeNaL9zzjmXNZmMoRgJ/CXZr+wYS8nC0tvRbJNOjcjfLeF4Cv8L\nmGLTvyTM/Ei7LjO7F7i3EW35E+HxkXPOOddmZNJD8Q2goeUDu9GIL3bnnHPOtU2ZBBTvA7s1kGco\n8F4GdTjnnHOuDcgkoPgbMFbS95OdlHQUMJw0N99yzjnnXNuVSUBxNWGzrMck3UFYNwFJZ0q6j7Bw\n1GLCTIc2TdLkaIvyEUnOnSPpdUmrozzpTit1zjnn2o1NDijMbBlhYOa/Cas6HkJYd+EWYEKUPibN\nBaRalKQB0Zf/4ynOnytpg6TFknYgxSwOSUcDNxJW3ryRsJfJ89G5QyX9WtJcSV9G9V1WT5sGRYHL\nw5I+iPJXpsrvnHPOtSaZLr1dCRRI+g7h8UZvYBXwgpn9u96LWylJUwg7hL4JjDWzjyTdDJQRZq3E\nOoQQaBxiZtUJ584nbI62irBC5/YNVL0/cBmwHlgIbJXJfTjnnHMtqUmW3jazBdRdXrrNkXQLcCbw\nIvCD2nUgovdka0JsHZ1PDCYg7AHysZm9J+lHhICkPnMIQdkrZrZOUmM2I3POOeeyKqOlt9sLSZ0l\nzSAEEzOB78UuKpU4hkLSCZJqgNHhUDXRa0PtNWZWYWZpz3Axs8Vm9qKZrWuyG3POOedaSEY9FJL6\nEVaC3BvoRfI1J8zMvpdJPc1JUlfCnhoHR+/HmNnXCdkSx1AsIIyXmAj0j/4WjVuZ0znnnGs3Njmg\nkLQ7YS+PLQlfpqm05i/ZnsCTQAFhI65ToyXD62VmrwCvSBoN9DezK5u3mc4551zrlskjjxsIgzCv\nImwQtpmZ5SR5teaVMvclLKX9nJmdkk4w4TqO6upqCgsLGTx4MIWFhXzySUMLwzrnXMeVSUCxL/CQ\nmV1mZkvMbEODV7Q+bxJmYOwn6dJsN8a1LsXFxVRUVFBZWUlFRQVFRUXZbpJzzrVamYyh+C9tf1nt\n94FxwGxgiqScaGOwNqu0tJTc3Ny4tJKSEkpKSrLUorarqqqq3mPnnMu2srIyysriJxGuXJmd5Z8y\nCSjmEK2O2ZaZWaWkkYTxIJdL6mRmKRegau2mTZvG0KFDs92MdiE/P5/Kysq4Y+eca02S/WCcP38+\nw4YNa/G2ZPLI46fArpJ+2lSNyRYzWwSMIiwVfomkq7PaINcqlJeXU1BQwKBBgygoKKC8vDzbTXLO\nuVYrkx6KnwOvA9dKOp0wlXJVknxmZidnUE+LMLMlUU/FLOCiqKdiUrbb5bInLy+PuXPnZrsZzjnX\nJmQSUJwY8/eg6JWMEfb6aPXM7P2YoOICSZ3N7PxNKUvSOOCI6HC76H28pNq//2Nm18bk70OYOWOE\nabibAX0l3RVT7PmxC24555xzrUUmAcV2DWdp1ZJu+GVmH8YEFedJElDfCJdUU02/AxyfkG/36AVh\nDMq1Med7RPljy9sipgwDLif5EuDOOedcVm1yQGFmS5qyIS0panvK9THMrAoYkpBcZ/aHmY2up4wp\nya5poE2+FLpzzrk2qcm+wCT1lrRtU5XnnHPOubYjo4BCUq6kmyRVA8uARTHnvivpcUktP3fFOeec\ncy1qkwMKSb2BF4CfEBaIWkj8nh6vEvbImJBJA51zzjnX+mXSQzEZ2BEoMbO9gD/FnjSzNYSBh2My\nqMM555xzbUAmAcXhwN/M7MF68iwGvpVBHa2CpMmSaiSNSHLuHEmvS1od5TknG210zjnnsimTgCKf\nsLlWfdYRpj62KpIGRF/+j6c4f66kDZIWS9qBFFNMJR0N3Aisjd4nA89HA1RPlfSwpPckrZW0LBpT\nMjZFnQdJKpO0UNKKKEBZKOn3URucc865ViuTdSiWAw3N6hgCtKkdlSRNAS4lBEtjzewjSTcDZcDS\nhOyHEAKNQ8ysOqaM04DbCDuZzozevwUUAwdJusDMbkgo6wfAdwnjUj4CvgZ2IqxDMUHSwWY2uynv\n1TnnnGsqmQQU/wTGSfqWmX2QeFLSzsBBwF11rmylJN0CnAm8CPygdlXK6D3ZglJbR+erE9LfAg4z\ns8cSyv9FVPZVkmaY2ccxp39qZnUel0gaTQhKriUEHM4551yrk8kjj6sIi0NVSJoA9AWQtJOkkwm7\nd64Drsu4lc1MUmdJMwjBxEzge7FLXCeOoZB0gqQaYHQ4VE302gBgZrMTg4ko/R3gQcKy2vslnPtv\nsraZ2SxgBbB9U9yrc8451xwyWSnzNUk/Au4D7o2SRdgwTMAXwFHRl2irJakr8Bfg4Oj9GDP7OiFb\n4hiKBYTxEhOB/tHfIvUy3LFqy16fZvv2BbYk9Ag555xzrVImjzwws0eiza5OIHTH9ybsOPoCcJeZ\nfZp5E5tVT+BJwnoZ04FTzazBoMDMXgFeiR5H9DezK9OpTFIP4EjCIM5/pcjzfULvRRfCtNxDgE+A\n0nTqcC2vurqa4uJiqqqqyM/Pp7y8nLy8vGw3yznnWlRGAQVsHF8wrQnakg37EnoWnjWzU1qgvt8C\necClZrYiRZ6xwP/FHL8LHG1mLzd349ymKS4upqKiAoDKykqKiop823PnXIfT6IBCUj7QDVhsZjVR\n2ghgVJLsC8zskYxa2LzeBHoB+0m6NN2ehk0haSpQAjwOTE2Vz8wuIGyd3h3YmbDD6LOSJprZHxqq\np7S0lNzc3Li0kpISSkpKMmm+q0dVVVW9x84511zKysooKyuLS1u5sr4NsptPowIKSX0JMxieM7MD\nY06NJnzxJfpC0uBW/OjjfWAcMBuYIikn2iW0SUm6EpgEPA0Up/lY5SvgJUlHAC8Bv5P0lJktr++6\nadOmMXTo0KZotktTfn4+lZWVccfOOdcSkv1gnD9/PsOGtfw2Wo2d5XE8YaGqSUnOGeEXeO3rTOAb\nwHGZNLC5mVklMBJYAlwu6YqmLD8KJn5OmPVyuJmta2T7NgCzCJ/7Xk3ZNtc0ysvLKSgoYNCgQRQU\nFFBeXp7tJjnnXItr7COPg4A3zGxBspOJy3BLOpGwYFOrHmNhZoskjSJ8cV8iqbOZXZxpuTHBxCzg\nUDNbu4lFbRO9J84+ca1AXl6ej5lwznV4je2h2A14rhH5XwV2aWQdWWFmSwg9FZXARZKuzaS8qKfj\n54QN0hoMJlJt8x4t1X0EYS2Kxnz2zjnnXItpbA9Fb8IUxkSzU+T/JLqmTTCz9yWNJPQoXBD1VJzf\n2HKinplLCD0KLwEXSkrMNtvM5sQc/1vS64Qg7APCI47dgf2B/wInRTu4Ouecc61OYwOKtSTZ7Cv6\nYmRL9dMAACAASURBVJzz/+3deXxcVf3/8debxaogVZZARLZWRVRQWzdoABFEhC8uCfolLsiiuCFS\n3EEpq19EsIAbflVAvmqEn8QdWbQtNWERqSAKCjQUBEIKCK0sZWk/vz/OHZ1M70wmmclMMnk/H495\nTOfcc+859/a285l7trWz82zSbJkTUe6CXxFxT1FQcZRSJFCpy2xeB8ttsvT1GD4EtHS/4mv2eVLn\n1t2AzYA1pLVDzgHOioi/VzwbMzOzJhptQHE36VdztV6R7TOhZM0b61bYPkha2KzYWqM/ImKPMvuf\nkJd/hDp9mbReh5mZ2aQz2j4Uvwd2y2bHrEjSTNKvbU8ZbWZm1uJGG1B8i/RU40JJZftGZNt6suOf\nM/bqmZmZ2WQwqiaPiLhR0ldJ/QJulnQOqUPmvaQ+AVuS+gEcDmwOnJGte2FmZmYtbCxreXyaNHrh\nU8AXs1cxAauBU0nDJicdSccDxwFviAg32ZiZmY1gtE0eRPJ5YAdS0LAI+BtpSu4rgS8BL42IY6qZ\nYrreJM2S9D1Jt0p6RNJjkm6XdIGkvao8TO4IkFHU4RWSTpJ0taQhSaskLZX0DUnPr7DfiyRdJOn+\nrN43SPrwWOthZmbWKGNebTQibmcCPYHIhneeARxFeoKyAPh59ucZpBk73yPpuIg4ZZyrcw7wWuAP\npL4kT5CWd/8IcICkXSPi1pL6vxS4irRs+YXAIGnp8m9K2iEiPjHOdTYzMxuzmpcvn0BOIQUTS4AD\nImJZ8UZJ04AjgE0aUJcfAO/J1gkprsOnSUNDzwD2L9nnW6S1T94SEZdn+b8I/A44QtKPIuLaca+5\nmZnZGIy6yWMiyoaofhp4ANinNJgAiIgnIuIMilZFlfQCST2SHpT0L0mLJO06Qlm7SfqZpPuypoy7\nJF0saU5RWd8oDSYyZwCPkab4Lj7mi0gzYi4oBBPZcZ4m9VER8MERL4SZmVmTtMoTikPIhqiOtFR6\nRDwFIGkL4BqgHbgU+BOpX8gVpFky1yLpE8BXSUHBT0kzWW4JdABdQP8I9QxSh9XVJelvyN6vyNmn\nD3iUkiDEzMxsImmVgGKX7D03ECjjVFIwcWxEnFpIlPQB4H8p6ZQpaSfSE4Z7gDkR8Y+S7VtUUeY7\nSc0aF5akvygr77bSHSJijaQ7gB0krRMRa6oox8zMrKFaoskDKHyZVzXNt6T1gXeRFi/7asnm7wG3\nrrUTfJjU9PCF0mACICLuG6HMrYCzSU83jivZPD17L7dmyErS39VzKpVhE9fQ0BAdHR3MnDmTjo4O\nli/PW2PPzGzyapWAYrS2B54J/DEinizekA11vSpnn9dk73nNEhVlM4deAmwKfDAi1noSYa2tq6uL\n/v5+BgYG6O/vp7Ozs9lVMjOrq1Zp8riPFCRsSU6zQY7CE4FyPxOHyuwT2cJhVcuCiQWk/hkfjoie\nnGyFJxPTc7YBbERqEvnXSOXNnTuX6dOHH6a7u5vu7u6q62z1Nzg4WPGzmdlY9PT00NMz/GtlxYpK\nC2SPn1YJKPpJHRv3JE20NZLC1W4rs33znLSHSdNdtFcbVBQFEzsCH42I75bJehupOeVFOcdYB9gO\nuKOa/hPz589n1qxZ1VTPGqi9vZ2BgYFhn83MapX3g3HJkiXMnj274XVplSaP80kjJw6XVHGeCUnP\nIM3quQp4dfa5eLv4TyfPYn/I3veupkIlwcQREfHtCtkXVTj2rsAGVBco2QTV29vLnDlzmDFjBnPm\nzKG3t7fZVTIzq6uWCCgiYilwGrAZcKmkbUvzSJom6WhgXjZ09CLSE4pPlmT9IPDinGLOAdYAJ0va\nOuf4WxT9+XmkCal2BI6MiG+NUP/bSMu87yFpn6LjrA+cRGru+F6lY9jE1tbWRl9fH0uXLqWvr4+2\ntnIPx8zMJqdWafIA+AJp2uq5wN8lLQD+Qpp6eztgL2Bj/jNd+OdITSQnZ5NZFeaheAtwGSVPCyLi\nL5KOAs4C/irpZ8CdpBEmuwG/Iq3CCmmOilcAtwCbSprH2uZHxMqizx8lzTnxM0nFU2+/FPhaRFwz\nlotiZmbWCC0TUGSjMz4l6UekNTN2IzUXrEP6cr4UOC8iFmT575O0M+nJxpuzvH8E3kQKNNZqfoiI\nb0i6ifRUYx9gQ1LHzmtITzwKtiE9VXgJaw8RLTiPNBy0cOybJb2WNIX4vqRmjltJfS8qNZeYmZk1\nXcsEFAURsYQqp6mOiLuBd+ds6gNOKLPPYlLzRKXjbldN+Tn73Q7891j2NTMza6aW6ENhZmZmzeWA\nwszMzGrmgMLMzMxq5oBiHEk6X9KavGGmZfLvnuUv15HTzMxsQnJAMUqStsm+9ItfT0i6S9IPJe1Y\nlD0oWbXUzMysFbXcKI8Guh34QfbnDYHXA91Ap6Q3RsTVTauZmZlZgzmgGLvbI+LE4gRJJ5EmzjoF\neGNTamVmZtYEbvKor69l768pSV9H0mck3SrpcUkDkr4oqaqATtJGkq6UtFrSx+pbZTMzs9r5CUV9\nRcl7wVmkBccuAh4B9idNnLUT8M5KB8zWCLmMtL7IgRHx/+pZYTMzs3pwQFFfR2Tv1xalCXgdsFNh\n2XNJxwK/JfW3eEdE/DTvYJJeBFxOWoNk34hYOG41NzMzq4GbPMbuhZLmZa/TJF0JfBF4nP8sQAbp\nacWZhWACICKezvIIODjv4JJmA/3AM4HdHUxMDUNDQ3R0dDBz5kw6OjpYvnx5s6tkZlYVP6EYu5n8\nZ+Gvp4Ah0qiPL0fEX0vy9uXsfzXwNPCqnG27AZ8C7gfeFBEDdamxTXhdXV309/cDMDAwQGdnJ319\nebePmdnE4oBi7C6LiH2rzDtUmhARayQ9CEzPyf9K0mqjlwF3jKZSc+fOZfr04Yfs7u6mu7t7NIex\nJhkcHKz42cysWE9PDz09PcPSVqxY0ZS6OKBojM2B24oTJK0DbALcl5P/a8CWwAeAHknvjog11RQ0\nf/58Zs2aVWN1rVna29sZGBgY9tnMrJy8H4xLlixh9uzZDa+LA4rG2JW1mz12IV3/JTn5IyIOlxRk\nS7GPJqiwyau3t5fOzk4GBwdpb2+nt7e32VUyM6uKA4rxJ+ATki6IiHsAJK1PmvwqgPPL7RgRH5K0\nGvhw2k3dDipaW1tbm/tMmNmk5ICiMa4BbpR0IfAoaR6KFwMXR8TPKu0YER+VtAb4KGmCrAMjYvW4\n19jMzGwUHFCMzWgW/VoDHEWawOoDwNbAIDAPOLWaY0fEEVlQ8THgxw4qzMxsonFAMUoRcSewbpV5\nDwEOyT5+JXtVyn9luWNHxJHAkdXX1MzMrHE8sZWZmZnVzAGFmZmZ1cwBhZmZmdXMAYWZmZnVzAHF\nKEg6XtIaSbvlbDtS0l8kPZrlcQdKMzObMqZ0QCFpm+zL/5Iy2z8habWkZdlS4rnDRSUdCJwJrMre\njweukbSxpMMl/VzSUkmrJN0v6RJJe4/fmZmZmTWWh42WIekE0nLkNwN7R8S9kr4G9AB3lWTfjxRo\n7BcRQ0XH+BDwLeAe4HfZ+wuALmAfSZ+OiDPG/WTMzMzGmQOKHJK+TpqZ8g/AvhHxT4Ds/Z85uzw/\n2166qujfgf0j4tclxz85O/Ypkn4YEXkLhJmZmU0aU7rJo5Sk9ST9kBRM/A7YsxBMZNuH9aGQ9P5s\nBss90ketyV6rASJiUWkwkaXfBlwIrE9aJKy0HhtKmifpxqxPxsOSlkg6UVJVk2qZmZk1kp9QZCQ9\nE7gYeEv2/u6IeKokW2kfihtI/SUOIU2pfTxpMbBqpuUuHPvpknpsBiwmrfVxA/BNUuD3EuAzwOnA\nyurOyszMrDEcUCQbAZcDc4DvAYdHxIhBQUTcSFr0aw9g64g4qZrCJG0IHEDqxPn7ks3fIgUTp0TE\ncSX7bQY8Uk0ZNvkNDQ3R1dU1bCnztra2ZlfLzCyXA4pkZ9KThasi4oMNKO/bQBvwxYh4qJAoaXPg\nHcBS4ITSnSLi/gbUzSaIrq4u+vv7ARgYGKCzs9NLm5vZhOWAIrkZeC6wi6QvVvukYSwk/Q/QDVwC\n/E/J5leTApuFY11NdO7cuUyfPn1YWnd3N93d3WM5nDXR4OBgxc9mZj09PfT09AxLW7FiRVPq4oAi\n+QfwNmARcIKkdSJirScEtZJ0EvBZ4LdAV06zSiESuGesZcyfP59Zs2aNdXebQNrb2xkYGBj22cys\nWN4PxiVLljB79uyG18UBRSYiBiTtDiwA5klat7QPQy2yYOLY7PhvjYgncrI9nL1vWa9ybfLq7e2l\ns7NzWB8KM7OJygFFkYi4Q9IbgIXAFyStFxHH1HrcomBiIfBfEbGqTNY/AmuAPbKAZkzNHtYa2tra\n3GfCzCYNz0NRIiLuBHYHBoDPSfpyLceTdCIpmLiSysEEEbGcNGR1JmkIaumxNpPkvzMzM5tw/IQi\nR0T8I2v+WAh8OntS8cnRHkfSwcAXSHNO/BH4jKTSbIsi4sqizx8FXgYcI2lfUhOJgO2BvYDN8TwU\nZmY2wTigKLPgV0TcUxRUHKUUCVTqOps3b8U2Wfp6wNEV9vt3QBERD0p6PfAp4J3Ax0jzVdxBGhXy\n6EgnZGZm1miqYv4mmwQkzQKuv/766z3Kw8xsCisa5TE7IpY0qly3x5uZmVnNHFCYmZlZzRxQmJmZ\nWc0cUExwkrolXS9pZbY0+lebXSczM7NSLT/KI+us+DFgV+D5pCDqXuAq4IKI+G0Tq1dRNtrjB6TF\nwr4JPAZc09RKmZmZ5WjZgCIb5nkGcBRpHogFwM+zP88A9gXeI+m4iDilaRWtbL/s/X0RcW1Ta2Jm\nZlZBywYUwCmkYGIJcEBELCveKGkacASwSeOrVrXCmh5eZtLMzCa0luxDIWkm8GngAWCf0mACICKe\niIgzgHlF+60v6eisz8IjWb+FxZL2zynj/KxPwzaSjpR0i6RVkpZJOk4lU2JKen+W/yBJb5N0raRH\nJS2X9D1JbUV5d5e0BjiYNEvmsmzf1ZK2rtNlMjMzq5tWfUJxCClYOiciHqiUMSKeApD0DOAy0joe\nfwK+C6xPanb4uaQjIuKbxbtmr9OB3YBfAZcCbyetw7E+8MXS4oADgL2Bn5CWMX9dVt8OSa+NiBXA\nsuwY7wB2As4irUQa/GdFUjMzswmjVQOKXbL3haPYZx4pMDghIk4oJEr6THacMyT1RsR9RfsIeBWw\nY7awF5JOBm4DPi7phIh4uiT/fsCbizuDSvoS8DngROAT2QJlJ0rajhRQnBkRd43iXMzMzBqqJZs8\ngC2y97uryZw1T3wYWFocTABExKOkL/ppQGfJrgGcWAgmsvwPkjp/Poe0oFepK3JGlpxCevJwUDX1\nNQMYGhqio6ODmTNn0tHRwfLly0feycxsnLTqE4rR2h54HnCPpHk52wv9G16Ssy1vnvRCIPPcnG19\npQkR8aikG4DdJc2IiIEq6mxTXFdXF/39/QAMDAzQ2dlJX99at5eZWUO0akBxHylI2JLU/DCSjbP3\nl2WvPAFskJOet5R4oZlj3ZxtQ2WOX0ifXmZ7VebOncv06cMP0d3dTXd3dy2HtQlocHCw4mcza309\nPT309PQMS1uxotLC2OOnVQOKfuANwJ7AoiryF4KCiyPiXeNUp4LNR0iv6U6YP3++VxudItrb2xkY\nGBj22cymlrwfjEWrjTZUq/ahOB9YDRwuqeI8E9nojltIQcWrJeU9VainXXPqsAHwSmClmzusWr29\nvcyZM4cZM2YwZ84cent7m10lM5vCWjKgiIilwGnAZsClkrYtzSNpmqSjgXkRsRr4FrAtaTTHWk9u\nJL1M0mZ1qN5ekvYuSfsCqb/F9+twfJsi2tra6OvrY+nSpfT19dHW1jbyTmZm46RVmzwgfUlPA+YC\nf5e0APgLaert7YC9SH0njs3yzyMNAf04sJ+kxcBy0vofO2WvnYH7a6zXr4BfSvoJab6JnUnNM7dR\nNMmWmZnZZNKyAUVEBPApST8CPkKaY2JX0lOZQdIkVOdFxIIs/5OS3gIcRhq+2UkKSIaAm0mLc91U\nWsxoqwVcTJo061jgbaQFv84Fjskmtcrbx8zMbEJr2YCiICKWAB+sMm+Qvuy/W0XeQ0gzXOZtOwE4\nIW9btv2XwC9rKcPMzGwiack+FGZmZtZYDigaSyNnMTMzm3wcUDSW+0OYmVlLavk+FBNFRHwfDws1\nM7MW1VJPKCTNkvQ9SbdKekTSY5Jul3SBpL2aXT8zM7NW1RIBhZKvAn8E3gssJU1UdWaWti9wmaRj\nyx/FzMzMxqpVmjxOAY4irfx5QEQsK94oaRpwBFBxGm4zMzMbm0n/hELSTODTwAPAPqXBBEBEPBER\nZ1A0E6Wk9SUdLen6rHlkpaTFkvbPKeN8SWskbSPpSEm3SFolaZmk4ySpJP/7s/wHSXqbpGslPSpp\nedYkkztHsqRtJX1X0p3Z8e+VdJ6krWu8TGZmZuNq0gcUpImf1gHOiYgHKmWMiKfg3wuCXQ6cnm36\nLvB/wNbAzyV9tHTX7HU6aYbLq0hNKgEcD5yYVxxwAHAhaVrtM4E/Z/X9vaRha4xLeh1wA/A+UjPN\nmcBi4N3AH/LWIzEzM5soWqHJY5fsfeEo9plHmor7hGxWSwAkfSY7zhmSeiPivqJ9RFrrY8eIWJ7l\nP5kULHxc0gkR8XRJ/v2AN0fEb4vK+BLwOVIQ8oksbT3gx1mW10TEn4vy7wJcCZxFmqrbzMxswmmF\nJxRbZO93V5M5a574MLC0OJgAiIhHSV/000hreQzbDJxYCCay/A8CPweeA2yfU9wVxcFE5hTgYdJ6\nIQX7A9sAXykOJrIyrsrK2FfShtWco1k5Q0NDdHR0MHPmTDo6Oli+fPnIO5mZVaEVnlCM1vbA84B7\nJOWt7lno3/CSnG1LctIKgcxzc7b1lSZExKOSbgB2lzQjIgaA15EClpeUqdMWpODvxWXqYFaVrq4u\n+vv7ARgYGKCzs5O+vrVuUzOzUWuFgOI+UpCwJan5YSQbZ+8vy155AtggJ31lTlqhmWPdnG1DZY5f\nSC/0o9iY1ETy7jL5K9VpmLlz5zJ9+rDuGXR3d9Pd3T3SrjYFDA4OVvxsZpNLT08PPT09w9JWrMhb\nuHr8tUJA0Q+8AdgTWFRF/kJQcHFEvGuc6lSw+Qjphb/1laSA4b8i4je1FDh//nxmzZpVyyGshbW3\ntzMwMDDss5lNXnk/GJcsWcLs2bMbXpdW6ENxPrAaOFxSxXkmstEdt5C+wF8tKe+pQj3tmlOHDYBX\nAiuz5g6Aa0lPKHYpzW9WT729vcyZM4cZM2YwZ84cent7m10lM2sRkz6giIilwGnAZsClecMrJU2T\ndDQwLyJWk4Z8bksazbHWUxpJL5O0WR2qt5ekvUvSvkDqb1G8rsfPgbuAoyXlBSHrSZpTh/rYFNfW\n1kZfXx9Lly6lr6+PtrbcKVHMzEatFZo8IH1JTwPmAn+XtAD4C/AUsB2wF6mfQmHq7XmkIaAfB/aT\ntBhYDjwf2Cl77QzcX2O9fgX8UtJPgGXZMd9A6uvx786XEfGkpAOAS4Ars/rfRGoG2Yb0pOMB4KU1\n1sfMzGxctERAEREBfErSj4CPkOaY2JX0BGYQuBQ4LyIWZPmflPQW4DDS8M1OUkAyBNwMfJP0hT6s\nmNFWC7iYNGnWsaQ5JB4DzgWOiYhhvWYi4o+SXkGa9XNfUvPHE8A9wE+B4b1uzMzMJhCl72KrJ0nv\nJwUOh0TEBQ0qcxZw/fXXX+9OmWZmU1hRp8zZEdGwqQYmfR8KMzMzaz4HFONHI2cxMzNrDQ4oxo/b\nkszMbMpoiU6ZE01EfJ/hw0LNzMxamp9QNIGk90taI+mgkXObmZlNfFMqoJC0TfZFXuk1MPKR6mKt\nJhFJu0o6XdICSQ9n9Tm3QfUxMzMbs6na5HE78IMy2x5uZEVKHEqaF+Mx0syZz2liXczMzKo2ZQOK\niDix2ZXI8TXSNOJ/A14LXN3c6piZmVVnSjV5jJakWZJ+IulOSaskLZf0B0nHlORbJmlA0nRJ35Y0\nKOlxSUskHVhteRGxJCJuCc82ZmZmk8xUfUIxomwa7H7gadLiXXeSFvV6KfBB4EtF2QN4BvBbYAPg\nguz9XcCPJG0SEd9oXO3NzMwaa6oGFC+UNK/Mtmsi4jJSX4ZnAO+MiF8VZ5D0vJz92oFbgZ0j4uks\n35eAG4CvSOqNiMG6nYHZOBoaGqKrq4vBwUHa29vp7e31yqRmVtFUDShmAseV2XYWcBn/GYWxqjRD\nRDxUZt9jCsFElu9eSWcBJwIHAvPHXGOzBurq6qK/vx+AgYEBOjs76evra3KtzGwim6oBxWURse8I\neS4CjgJ+JulC4ApgcUTcWyb/0xFxTU7670nTcL9qzLUdhblz5zJ9+vRhad3d3XR3dzeieGsRg4OD\nFT+b2cTQ09NDT8/wxahXrFhRJvf4mqoBxYgi4g+SdgeOAbqBgwFJug74bEQsKtnlgTKHGsrep5fZ\nXlfz58/3aqNWs/b2dgYGBoZ9NrOJJ+8HY9Fqow3lgKKCiOgH9pM0DXgdsD/wMeBXkl4eEcuKsm9a\n5jCbZ+/NCRnNxqC3t5fOzs5hfSjMzCpxQFGFiHgCWAwslrQCOAF4E/CdomzrSdo5Ikrnjtgte//T\n+NfUrD7a2trcZ8LMRsXzUJQh6fXZk4lSW2Tva3XWBL4kaf2iY7wA+ESW98f1r6WZmdnEMFWfUFQa\nNgpwKvBZYA9Ji4E7SEHBLGBP0tTdPy3ZZ5A098SfJf0S2BB4J7AxcGTOkFGVFippDvCB7ONm2fuu\nks7L/vxARHy6ivMzMzNrqKkYUASVh40GaXjnN0nreryO1Gwh0voaJwNnRsQjJfs9SWoGORV4L2kS\nrFuAj0XERWXKKfVC0vwXxXlmZC+AZYADCjMzm3CmVEAREXcC61aZ/YrsNZrjrwA+kr0q5fs+8P1q\n083MzCY696EwMzOzmjmgMDMzs5o5oKgfrxBqZmZTlgOKOoiI7SJiZnGapOMlrZG0W7n9ivLunuUt\n11HUzMxsQpsSAYWkc7Mv7PuL54kYZ4GfWpiZ2RTR8gGFpA1I80GsIc0J8fbm1sjMzKz1tHxAQVrY\n69mkuSUCOKy51TEzM2s9UyGgOAx4GjgNWAjsJWmr0kxZk8iCvANIWiZpoCTt/GyfbSV9UtJfJa2S\ndG6lykh6uaS7JT0oaZec7XMkLZK0UtJDkn4iaWbesczMzCaKlg4oJO1Amunysoi4H7iAdM6HjPJQ\neX0hCn0kvg58DriO9BTkpgr16QB+D6wGOiLiqpIsOwO/Ax4CzgYWAe8A+iVtO8o6m5mZNUyrz5T5\nAdKX/v9ln3tJU2ofApxYh+ML2BF4ZUTcUzGj9FaghzR99psj4u6cbHsDH4qI7xbtdzhwDnAW8LY6\n1NnMzKzuWvYJhaT1SGtqrAR+ARARj5IW9dpa0l51KCaA06oIJg4DLgZuBHYtE0wA3FocTGS+A9wK\n7Cdpk1orbGbNNTQ0REdHBzNnzqSjo4Ply5c3u0pmddGyAQVpNMdmwEUR8URR+gWkJwuH1qmc60bY\nfjQpKLgc2DMi/lkhb39pQkQEcBWpzq8YayXNbGLo6uqiv7+fgYEB+vv76ezsbHaVzOqilZs8DmN4\nc0fBAuAe4O2SnhsRD9dYzlCFbQI6snpcHhGPj/FYhfTpI1Vm7ty5TJ8+PFt3dzfd3d0j7WpmDTA4\nOFjxs9lo9PT00NPTMyxtxYoVTalLSwYUkrYkLSUOsFhSXrYgNYl8vehzuesxnbSUebnjlFMYpvoF\nYL6k1RHx9Qr5Nx8hfcS7ZP78+cyaNWukbGbWJO3t7QwMDAz7bDZWeT8YlyxZwuzZsxtel5YMKEjN\nGeuQRlT8PWf7esDBpC/7whf8Q8CWpRmz0RXPpXxAMZKHgD2B3wJnS1JEfK1M3jk55QvYhRSc3DjG\nOpjZBNHb20tnZyeDg4O0t7fT29vb7CqZ1UWrBhQHk2bGPCgi7szLIGl74PWSZkXEElJfiL0l7RYR\ni7M86wNfrbUyEbEy6wR6GXBWFlScnZP1xZIOj4j/LUo7HHgx8IuIeLDWuphZc7W1tdHX19fsapjV\nXcsFFJL2BLYDFpYLJjLnkeZ9OAxYQgoc9gYukdQDPEZqNnkIqLmRMwsq9iYFFWdKWicizizJVgg4\n9gX+Crwc+C9gOXBUrXUwMzMbL604yuNQUvPA+SPkuxB4HDhQ0rSIuIK05sftpL4VB5C+4N8EPEn5\nya2qFhH/IgUtVwFnSJpbcqyrSc0jGwEfB3YjzZ2xS0QsG01ZZmZmjaQ0KtEmO0mzgOuvv/56d8o0\nM5vCijplzs6a9BuiFZ9QmJmZWYM5oDAzM7OaOaAwMzOzmjmgMDMzs5o5oKgTScdLWiNpt6K0bbK0\nc5tZNzMzs/HmgKKCooCg+PWEpLsk/VDSjkXZg1EOI80p7xWSviTpUknLs/IW1HYWZmZm46/lJrYa\nJ7cDP8j+vCHweqAb6JT0xoi4uk7lvB34LGnei1sBL1duZmaTggOK6tweEScWJ0g6CTgWOAV4Y53K\nuQj4OXATsCl1mKHTzMysEdzkMXaFBb5eM9odJa0v6aKsSePUQnpE3BIRN0TE6rrV0szMrAH8hGLs\nouS9KpI2JD2F2B04Omc9DzMzs0nHTyjG7ojs/dpqd5C0ObCYtEz5+xxMmJm1nqGhITo6Opg5cyYd\nHR0sX7682VVqCD+hqM4LJc3L/rwB8DpgV9LiYsdWcwBJ2wFXAJsD+2eLkZmZWYvp6uqiv78fgIGB\nATo7O6fEkvUOKKozEzgu+/NTwBBp1MeXI+KvVey/A2mF0XWBN0bEdeNSS2Du3LlMnz59WFp3dzfd\n3d3jVaSZmRUZHBys+Lmeenp66OnpGZa2YsWKcSuvEgcU1bksIvatYf8XAc8jBRV/qU+V8s2fP9+r\njZqZNVF7ezsDAwPDPo+XvB+MRauNNpQDisb4BTAAnAj8RtJbIuLxJtfJzMzGQW9vL52dnQwOU1/G\nYAAAEvVJREFUDtLe3k5vb2+zq9QQDigaJCJOlhTAScClWVDxWLPrZWZm9dXW1jYl+kyU8iiPBoqI\nU4BjSB06fyPp2U2ukpmZWV34CUWDRcSpktYApwKXZU8qHgGQtD3wedLcFs/KdtlB0nlF+x/S6Dqb\nmZmNxAHFyGpd9Gut/SPitCyo+DLpScU+EfEosAXwvpJ924CDij47oDAzswnHAUUFEXEnaahnNXlP\nAE6odv+IOB04vSTtymrLMzMzm0jch8LMzMxq5oDCzMzMauaAwszMzGrmgGIcSTo+W6J8t2bXxczM\nbDxNmYBC0rnZl/v9ktZvULG1jhAxMzObFKZEQCFpA+CdwBpgY+Dtza2RmZlZa5kSAQXQDTwbmE96\nYnBYc6tj46V01b2pZqqfP/gaTPXzB1+DZpkqAcVhwNPAacBCYC9JW5VmyppEFuQdQNIySQMlaedn\n+2wr6ZOS/ipplaRzK1VG0ssl3S3pQUm7ZGnrS/q4pEsl3ZUdZ0jSxZJeOdYTn2qm+n8kU/38wddg\nqp8/+Bo0S8sHFJJ2AF5HWoL8fuAC0nmPdsbJvL4QhT4SXwc+B1xHegpyU4X6dAC/B1YDHRFxVbZp\n42zfZwC/Br5KCn7eAlwlqfFr0ZqZmVVpKsyU+QHSl/7/ZZ97gW+SAooT63B8ATsCr4yIeypmlN4K\n9ADLgDdHxN1Fmx8CtoqIwZJ9dgCuBb4EvLkO9TUzM6u7ln5CIWk94L3ASuAXANmaGT8Ftpa0Vx2K\nCeC0KoKJw4CLgRuBXUuCCSLiydJgIku/hfSkYjdJnpbbzGySGhoaoqOjg5kzZ9LR0cHy5cubXaW6\navUnFG8HNgO+ExFPFKVfQAo0DgV+W4dyrhth+9HAW4HfAAdExON5mSS9AvgsMIe0UFjx8NYANgWG\nypTxTIBbbrml+lq3oBUrVrBkyZJmV6Nppvr5g6/BVD9/mLjX4NBDD+XGG28EYGBggL333ptzz63Y\n5W5Mir4Hnln3g1egiNadJkHSb4C9gd0joq8ofR3gTmAT4PkR8XCWvgZYFBFvzDnWHUBExIyitPNI\nK4HOyBYCK91nHjAP+CfwPODoiDirTF13AX5HChwuB24DHsk+vwPYCdguIu4qs/+7gR9WvCBmZjaV\nvCciftSowlr2CYWkLYE3ZR8XS8rLFqQnFV8v+lzumkwHHi6zrVJUVhi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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#visualize changes for the G2m checkpoint \n", "fig = plotLoadings(FA, 'G2m checkpoint', n_genes=20)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, we can safe the model results as CSV files or using a .hdf5 file." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [], "source": [ "#if not os.path.exists(out_dir):\n", "# os.makedirs(out_dir)\n", "#out_file_name = os.path.join(out_dir,FA.getName()+'.hdf5')\n", "#saveFA(FA, out_name=out_file_name" ] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python (3.5)", "language": "python", "name": "py3" }, "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 }