An additional k-means clustering step improves the biological features of WGCNA gene co-expression networks.
Juan A BotíaJana VandrovcovaPaola ForaboscoSebastian GuelfiKarishma D'Sanull nullJohn HardyCathryn M LewisMina RytenMichael E WealePublished in: BMC systems biology (2017)
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.