no code implementations • 31 Jul 2022 • S. Chatterjee, B. S. Sanjeev
Based on the DisGeNET (v7. 0) data set, we constructed a disease-gene network bipartite graph to identify genes that are involved in various carcinomas namely, gastric cancer (GC), nasopharyngeal cancer (NPC), Hodgkin's lymphoma (HL) and Burkitt's lymphoma (BL).
no code implementations • 31 May 2022 • S. Chatterjee, B. S. Sanjeev
Given this scenario, we identified biological processes and pathways which are most likely affected by COVID-19.