More formatting

demo/HF_TCM+P3GPT_sceening.ipynb

@@ -300,11 +300,11 @@
        "                                'CD86', 'AURKA', 'IL2', 'F2', 'IDO1',\n",
        "                                'IL4', 'RPS6KB1','ABAT', 'CCL3','STAT1',\n",
        "                                'CD80', 'IL5', 'IL6'],\n",
-       "   'entrez_ids': [18, 3565, 4790, 836, 3551,\n",
-       "                  3620, 6772, 718, 2147, 3558,\n",
-       "                  3569, 6347, 6356, 727, 6790,\n",
-       "                  3567, 942, 6348, 10215, 6198,\n",
-       "                  5550, 1232, 941]},\n",
+       "                    'entrez_ids': [18, 3565, 4790, 836, 3551,\n",
+       "                                   3620, 6772, 718, 2147, 3558,\n",
+       "                                   3569, 6347, 6356, 727, 6790,\n",
+       "                                   3567, 942, 6348, 10215, 6198,\n",
+       "                                   5550, 1232, 941]},\n",
        "  'predicted_targets': {'symbols': ['IFNG', 'PTGS1', 'PTGS2', 'TPMT'],\n",
        "  'entrez_ids': [3458, 5742, 5743, 7172]}})"
       ]
@@ -420,7 +420,7 @@
    "id": "c9817c0b-51f2-4b7a-913c-9741345f1895",
    "metadata": {},
    "source": [
-    "We can now zoom in on the compoundы that passed the test.\n",
+    "We can now zoom in on the compounds that passed the test.\n",
     "\n",
     "Out of all 659 TCM compounds, the targets of 424 of them significantly overlapped with an aging aging signature.\n",
     "Let's trim the table of significant enrichments even further by considering only the documented targets. \n",