WGCNA (1.69)

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Weighted Correlation Network Analysis.


Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) and Langfelder and Horvath (2008) . 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.

Maintainer: Peter Langfelder
Author(s): 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

License: GPL (>= 2)

Uses: doParallel, dynamicTreeCut, fastcluster, foreach, Hmisc, impute, matrixStats, Rcpp, survival, minet, entropy, infotheo
Reverse depends: ENA, GOGANPA
Reverse suggests: DDPNA, ENA, fuzzyforest, GOGANPA

Released 29 days ago.

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