File update

code/scrna_ppi_analysis.ipynb

@@ -28,7 +28,7 @@
     }
    },
    "source": [
-    "import scanpy as sc\n",
+    "# import scanpy as sc\n",
     "import sys\n",
     "import pandas as pd\n",
     "import networkx as nx\n",
@@ -47,20 +47,8 @@
     "sys.path.append('functions/')\n",
     "import functions"
    ],
-   "outputs": [
-    {
-     "ename": "ModuleNotFoundError",
-     "evalue": "No module named 'scanpy'",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[1;31mModuleNotFoundError\u001B[0m                       Traceback (most recent call last)",
-      "\u001B[1;32m~\\AppData\\Local\\Temp\\ipykernel_1308\\4204253780.py\u001B[0m in \u001B[0;36m<module>\u001B[1;34m\u001B[0m\n\u001B[1;32m----> 1\u001B[1;33m \u001B[1;32mimport\u001B[0m \u001B[0mscanpy\u001B[0m \u001B[1;32mas\u001B[0m \u001B[0msc\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0m\u001B[0;32m      2\u001B[0m \u001B[1;32mimport\u001B[0m \u001B[0msys\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m      3\u001B[0m \u001B[1;32mimport\u001B[0m \u001B[0mpandas\u001B[0m \u001B[1;32mas\u001B[0m \u001B[0mpd\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m      4\u001B[0m \u001B[1;32mimport\u001B[0m \u001B[0mnetworkx\u001B[0m \u001B[1;32mas\u001B[0m \u001B[0mnx\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m      5\u001B[0m \u001B[1;32mimport\u001B[0m \u001B[0mseaborn\u001B[0m \u001B[1;32mas\u001B[0m \u001B[0msns\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
-      "\u001B[1;31mModuleNotFoundError\u001B[0m: No module named 'scanpy'"
-     ]
-    }
-   ],
-   "execution_count": 2
+   "outputs": [],
+   "execution_count": 10
   },
   {
    "metadata": {
@@ -2061,7 +2049,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "outputs": [],
    "source": [
     "dis_gen = pd.read_csv('../data/disnet/dis_gen.tsv', sep='\\t')\n",