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: 1.72-5
Depends: R (≥ 3.0), dynamicTreeCut (≥ 1.62), fastcluster
Imports: stats, grDevices, utils, matrixStats (≥ 0.8.1), Hmisc, impute, splines, foreach, doParallel, preprocessCore, survival, parallel, GO.db, AnnotationDbi, Rcpp (≥ 0.11.0)
LinkingTo: Rcpp
Suggests: org.Hs.eg.db, org.Mm.eg.db, infotheo, entropy, minet
Published: 2023-12-07
DOI: 10.32614/CRAN.package.WGCNA
Author: Peter Langfelder and Steve Horvath with contributions by Chaochao Cai, Jun Dong, Jeremy Miller, Lin Song, Andy Yip, and Bin Zhang
Maintainer: Peter Langfelder <Peter.Langfelder at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/
NeedsCompilation: yes
Citation: WGCNA citation info
Materials: ChangeLog
In views: Omics
CRAN checks: WGCNA results


Reference manual: WGCNA.pdf


Package source: WGCNA_1.72-5.tar.gz
Windows binaries: r-devel: WGCNA_1.72-5.zip, r-release: WGCNA_1.72-5.zip, r-oldrel: WGCNA_1.72-5.zip
macOS binaries: r-release (arm64): WGCNA_1.72-5.tgz, r-oldrel (arm64): WGCNA_1.72-5.tgz, r-release (x86_64): WGCNA_1.72-5.tgz, r-oldrel (x86_64): WGCNA_1.72-5.tgz
Old sources: WGCNA archive

Reverse dependencies:

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


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