Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. 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://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/
Versions 1.66, 1.64_1, 1.61, 1.51
License GPL (>= 2)
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-wgcna
Links biotools: wgcna, doi: 10.1186/1471-2105-9-559


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.