This script creates a Weighted Gene Co-Expression Network from expression data and group the most similar genes in cluster. It is based on the tutorial available in WGCNA page.
It was adapted to my dataset and goals.
expressiondataEx.csv - example table with expression values for 5000 genes in 30 situations.
phenoTrait.csv - example table containing phenotypic measures for 5 traits
WGCNATut.R - script in R to perform the WGCNA Analysis. Basically the script of WGCNA page but adapted to my data
WGCNATutorial.html - document explaining how to do the analysis. It can be acessed on my Rpubs page