Abstract:There is growing evidence of a strong relationship between COVID-19 and thrombosis. However, few bioinformatics-based analyses of critical genes and the mechanisms related to COVID-19 thrombosis existed. This study aimed to identify critical genes related to COVID-19 thrombosis by bioinformatic methods and explore the biological mechanisms and gene regulatory networks. The gene expression data were obtained from the Gene Expression Omnibus (GEO). Significant modular genes in GSE176480 were identified by weight… Show more
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