An epithelial–mesenchymal transition-related prognostic model for colorectal cancer based on weighted gene co-expression network analysis

Abstract excerpt

Objective To identify susceptibility modules and genes for colorectal cancer (CRC) using weighted gene co-expression network analysis (WGCNA). Methods Four microarray datasets were downloaded from the Gene Expression Omnibus database. We divided the tumor samples into three subgroups based on consensus clustering of gene expression, and analyzed the correlations between the subgroups and clinical features. The...

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