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Network strategies to study Epstein-Barr virus associated carcinomas and potential etiological mechanisms for oncogenesis
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).
Network-based community detection of comorbidities and their association with SARS-CoV-2 virus during COVID-19 pathogenesis
Given this scenario, we identified biological processes and pathways which are most likely affected by COVID-19.
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