Data from: SARS-CoV-2 Infections - Gene Expression Omnibus (GEO) Data Mining, Pathway Enrichment Analysis, and Prediction of Potentially Repurposable Drugs

This project describes a protocol to analyze publicly available transcriptomic data from the NCBI Gene Expression Database (GEO) using in silico approach. This involved identifying SARS-CoV-2 infection-induced differentially Expressed (DE) genes from human gene mapping and viral mapping, statistically enriched pathway associations, and potentially repurposable drugs for COVID-19 treatment. Further...