Weighted Correlation Network Analysis [R package WGCNA version 1.73]

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: 1.73

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: 2024年09月18日

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_1.73.tar.gz

Windows binaries: r-devel: WGCNA_1.73.zip, r-release: WGCNA_1.73.zip, r-oldrel: WGCNA_1.73.zip

macOS binaries: r-release (arm64): WGCNA_1.73.tgz, r-oldrel (arm64): WGCNA_1.73.tgz, r-release (x86_64): WGCNA_1.73.tgz, r-oldrel (x86_64): WGCNA_1.73.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, iModMix, MCbiclust, miRSM, MODA, MRPC, multiWGCNA, netboost, Patterns, ReducedExperiment, RegEnrich, scpoisson, SPsimSeq, TIN

Reverse suggests: ADAPTS, BioCor, ClusterGVis, cola, corrselect, DDPNA, fuzzyforest, GRaNIE, gsean, HiContacts, maGUI, scde, scGPS, scITD, TRexSelector

Reverse enhances: dendextend

Linking:

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