Screening of Key Genes of Sepsis and Septic Shock Using Bioinformatics Analysis

Abstract excerpt

OBJECTIVE: Sepsis is a disease associated with high mortality. We performed bioinformatic analysis to identify key biomarkers associated with sepsis and septic shock. METHODS: The top 20% of genes showing the greatest variance between sepsis and controls in the GSE13904 dataset (children) were screened by co-expression network analysis. The differentially expressed genes (DEGs) were identified through analyzing...