milescsmith/WGCNA: Weighted Correlation Network Analysis

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.

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
MaintainerPeter Langfelder <[email protected]>
LicenseGPL (>= 2)
Version1.66
URL http://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("milescsmith/WGCNA")
milescsmith/WGCNA documentation built on May 4, 2019, 12:56 a.m.