WGCNA: Weighted Correlation Network Analysis

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.

Version:	1.74
Depends:	R (≥ 3.0), dynamicTreeCut (≥ 1.62), fastcluster
Imports:	stats, grDevices, utils, matrixStats (≥ 0.8.1), Hmisc, impute, splines, foreach, doParallel, preprocessCore, survival, parallel, Rcpp (≥ 0.11.0)
LinkingTo:	Rcpp
Suggests:	infotheo, entropy, minet
Published:	2026-01-30
DOI:	10.32614/CRAN.package.WGCNA
Author:	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]
Maintainer:	Peter Langfelder <Peter.Langfelder at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
Citation:	WGCNA citation info
Materials:	ChangeLog
In views:	NetworkAnalysis, Omics
CRAN checks:	WGCNA results

Documentation:

Reference manual:

WGCNA.html , WGCNA.pdf

Downloads:

Package source:	WGCNA_1.74.tar.gz
Windows binaries:	r-devel: WGCNA_1.74.zip, r-release: WGCNA_1.74.zip, r-oldrel: WGCNA_1.74.zip
macOS binaries:	r-release (arm64): WGCNA_1.74.tgz, r-oldrel (arm64): WGCNA_1.74.tgz, r-release (x86_64): WGCNA_1.74.tgz, r-oldrel (x86_64): WGCNA_1.74.tgz
Old sources:	WGCNA archive

Reverse dependencies:

Reverse depends:	diffcoexp, NetSAM
Reverse imports:	BioM2, BioNAR, BioNERO, CEMiTool, coreheat, csdR, DiPALM, DrDimont, fastLiquidAssociation, FREEtree, GmicR, GWENA, iModMix, iNETgrate, MCbiclust, miRSM, MODA, MRPC, multiWGCNA, netboost, Patterns, Pigengene, ReducedExperiment, RegEnrich, scpoisson, seq2pathway, SPsimSeq, TemporalForest, TIN
Reverse suggests:	ADAPTS, BioCor, ClusterGVis, cola, corrselect, DDPNA, fuzzyforest, GRaNIE, gsean, HiContacts, maGUI, scde, scGPS, scITD, spatialHeatmap, TRexSelector
Reverse enhances:	dendextend

Linking:

Please use the canonical form https://CRAN.R-project.org/package=WGCNA to link to this page.