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.


Reference manual

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install.packages("WGCNA")

1.74 by Peter Langfelder, 9 months ago


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


Authors: Peter Langfelder [aut, cre] , Steve Horvath [aut] , Chaochao Cai [aut] , Jun Dong [aut] , Jeremy Miller [aut] , Lin Song [aut] , Andy Yip [aut] , Bin Zhang [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stats, grDevices, utils, matrixStats, Hmisc, impute, splines, foreach, doParallel, preprocessCore, survival, parallel, Rcpp

Depends on dynamicTreeCut, fastcluster

Suggests infotheo, entropy, minet

Linking to Rcpp


Imported by BioM2, DiPALM, DrDimont, FREEtree, MRPC, Patterns, TemporalForest, coreheat, scpoisson.

Suggested by ADAPTS, IOBR, TRexSelector, corrselect, fuzzyforest, maGUI.

Enhanced by dendextend.


See at CRAN