swMATH ID: 7123
Software Authors: Peter Langfelder; Steve Horvath; Chaochao Cai, Jun Dong, Jeremy Miller, Lin Song, Andy Yip, Bin Zhang
Description: R package WGCNA: Weighted Correlation Network Analysis. Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data. 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.
Homepage: http://cran.r-project.org/web/packages/WGCNA/index.html
Source Code:  https://github.com/cran/WGCNA
Dependencies: R
Related Software: R; glasso; KEGG; igraph; dynamicTreeCut; ggplot2; COPASI; ARACNE; fdrtool; Python; huge; bnlearn; CIDR; DINGO; SCODE; SCENIC; DNA; SC3; TRANSFAC; AS 136
Cited in: 21 Documents

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