nosarcasm/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.
Getting started
Browse package contents
Package details |
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| Author | 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, Ryan Neff, and Bin Zhang |
| Maintainer | Peter Langfelder <Peter.Langfelder@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.63 |
| URL | http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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