From: Using informative features in machine learning based method for COVID-19 drug repurposing
Annotation cluster 1 | Enrichment score: 11 | ||
---|---|---|---|
Term | Count | P value | |
hsa05142:Chagas disease (American trypanosomiasis) | 20 | 2.47E−18 | [27] |
hsa05323:Rheumatoid arthritis | 17 | 1.79E−15 | [27] |
hsa05144:Malaria | 14 | 4.85E−15 | [27] |
hsa05321:Inflammatory bowel disease (IBD) | 15 | 7.61E−15 | [27] |
hsa05140:Leishmaniasis | 14 | 8.80E−13 | [27] |
hsa05152:Tuberculosis | 19 | 9.13E−13 | [27] |
hsa04620:Toll-like receptor signaling pathway | 15 | 1.15E−11 | [28] |
hsa05146:Amoebiasis | 14 | 1.75E−10 | [27] |
hsa05145:Toxoplasmosis | 14 | 2.81E−10 | [27] |
hsa05134:Legionellosis | 10 | 8.56E−09 | [29] |
hsa05133:Pertussis | 10 | 1.66E−07 | [27] |
hsa04621:NOD-like receptor signaling pathway | 9 | 2.12E−07 | [30] |
Annotation cluster 3 | Enrichment score: 4.53 | ||
---|---|---|---|
Term | Count | P value | |
hsa04931:Insulin resistance | 10 | 3.80E−06 | |
hsa04920:Adipocytokine signaling pathway | 8 | 1.47E−05 | [28] |
hsa05221:Acute myeloid leukemia | 6 | 4.50E−04 |