Weighted Correlation Network Analysis

Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) and Langfelder and Horvath (2008) . 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.


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Reference manual

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install.packages("WGCNA")

1.66 by Peter Langfelder, 2 months ago


http://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/


Browse source code at https://github.com/cran/WGCNA


Authors: Peter Langfelder <[email protected]> and Steve Horvath <[email protected]> with contributions by Chaochao Cai , Jun Dong , Jeremy Miller , Lin Song , Andy Yip , and Bin Zhang


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stats, grDevices, utils, matrixStats, Hmisc, impute, splines, foreach, doParallel, preprocessCore, survival, parallel, GO.db, AnnotationDbi, Rcpp, robust

Depends on dynamicTreeCut, fastcluster

Suggests org.Hs.eg.db, org.Mm.eg.db, infotheo, entropy, minet

Linking to Rcpp


Imported by DCD, DGCA, MRPC, eclust.

Depended on by GOGANPA.

Suggested by fuzzyforest.


See at CRAN