WGCNA: Weighted Correlation Network Analysis
Version 1.64-1

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.

Getting started

Package details

AuthorPeter Langfelder <[email protected]> and Steve Horvath <[email protected]> with contributions by Chaochao Cai, Jun Dong, Jeremy Miller, Lin Song, Andy Yip, and Bin Zhang
Date of publication2018-09-11 08:20:03 UTC
MaintainerPeter Langfelder <[email protected]>
LicenseGPL (>= 2)
Version1.64-1
URL http://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("WGCNA")

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WGCNA documentation built on Sept. 11, 2018, 9:03 a.m.