Weighted Correlation Network Analysis R package WGCNA version 1.74 CRAN Task View: NetworkAnalysis (https://CRAN.R-project.org/view=NetworkAnalysis) CRAN Task View: Omics (https://CRAN.R-project.org/view=Omics) 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. Software 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 Peter Langfelder <Peter.Langfelder@gmail.com> Comprehensive R Archive Network (CRAN) 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] GPL (>= 2) 2026-01-30 application/tgz https://CRAN.R-project.org/package=WGCNA doi:10.32614/CRAN.package.WGCNA