Bioinformatics analysis based on high-throughput sequencing data to identify hub genes related to different clinical types of COVID-19.

ABSTRACT: This article aims to explore hub genes related to different clinical types of cases with COVID-19 and predict the therapeutic drugs related to severe cases. The expression profile of GSE166424 was divided into four data sets according to different clinical types of COVID-19 and then calculated the differential expression genes (DEGs). The specific genes of four clinical types of COVID-19 were obtained by Venn diagram and conducted enrichment analysis, protein-protein interaction (PPI) networks analysis, screening hub genes, and ROC curve analysis. The hub genes related to severe cases were verified in GSE171110, their RNA-specific expression tissues were obtained from the HPA database, and potential therapeutic drugs were predicted through the DGIdb database. There were 536, 266, 944, and

SUBMITTER: Liu S 

PROVIDER: S-EPMC9975444 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature