Peter Langfelder <Peter.Langfelder@gmail.com> and Steve Horvath <SHorvath@mednet.ucla.edu> with contributions by Chaochao Cai, Jun Dong, Jeremy Miller, Lin Song, Andy Yip, and Bin Zhang
R (>= 3.0), dynamicTreeCut (>= 1.62), fastcluster
stats, grDevices, utils, matrixStats (>= 0.8.1), Hmisc,
impute, splines, foreach, doParallel, preprocessCore, survival,
parallel, GO.db, AnnotationDbi, Rcpp (>= 0.11.0)
org.Hs.eg.db, org.Mm.eg.db, infotheo, entropy, minet
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.