An additional k-means clustering step improves the biological features of WGCNA gene co-expression networks

Abstract

The results obtained from our investigations indicate that our k-means method, applied as an adjunct to standard WGCNA, results in better network partitions. These improved partitions enable more fruitful downstream analyses, as gene modules are more biologically meaningful.