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Update deep_generative_model_LINCS.ipynb #2

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21 changes: 11 additions & 10 deletions deep_generative_model_LINCS.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -180,20 +180,21 @@
}
],
"source": [
"pclFileNameSM = \"../Data/YX_Data/pcl_information.csv\"\n",
"pclFileNameSM_df = pd.read_excel('./data/1-s2.0-S0092867417313090-mmc1.xlsx', sheet_name='Table S7 PCL Statistics', skiprows=1)\n",
"pertClassDicSM = {}\n",
"classDicSM = {}\n",
"pertCountSM = 0\n",
"with open(pclFileNameSM, \"r\") as myfile:\n",
" for line in myfile.readlines():\n",
" if not len(line):\n",
" continue\n",
"for i, row in pclFileNameSM_df.iterrows():\n",
" \n",
" PCL_ID = row[0]\n",
" PCL_members = row[4].split('|')\n",
" for PCL_member in PCL_members:\n",
" pertCountSM += 1\n",
" line = line.strip()\n",
" spline = line.split(',')\n",
" pertClassDicSM[spline[0]] = spline[1]\n",
" c = classDicSM.setdefault(spline[1], 0)\n",
" classDicSM[spline[1]] = c + 1\n",
" pertClassDicSM[PCL_member] = PCL_ID\n",
" c = classDicSM.setdefault(PCL_ID, 0)\n",
" classDicSM[PCL_ID] = c + 1\n",
"\n",
" \n",
"print(\"The number of perturbagens with class information: \" + str(pertCountSM))\n",
"print(\"The number of PCL: \" + str(len(classDicSM)))\n",
"print(sorted(classDicSM.items(), key = operator.itemgetter(1), reverse = True)[0])"
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