Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.

Home http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA/
Versions 1.51
License GPL (>= 2)
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-wgcna


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install r-wgcna

and update with:

conda update r-wgcna


A Docker container is available at https://quay.io/repository/biocontainers/r-wgcna.