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: | 2024-09-18 |
| 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 |