recipe r-wgcna

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.

Homepage:http://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/
License:GPL3 / GPL (>= 2)
Recipe:/r-wgcna/meta.yaml
Links:biotools: wgcna, doi: 10.1186/1471-2105-9-559
package r-wgcna

(downloads) docker_r-wgcna

Versions:

1.66-1, 1.66-0, 1.64_1-0, 1.61-0, 1.51-1, 1.51-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install r-wgcna

and update with:

conda update r-wgcna

or use the docker container:

docker pull quay.io/biocontainers/r-wgcna:<tag>

(see r-wgcna/tags for valid values for <tag>)