- 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
- Links
biotools: wgcna, doi: 10.1186/1471-2105-9-559
- package r-wgcna¶
-
- Versions
1.71-0
,1.69-5
,1.69-4
,1.69-3
,1.69-2
,1.69-1
,1.69-0
,1.68-1
,1.68-0
,1.71-0
,1.69-5
,1.69-4
,1.69-3
,1.69-2
,1.69-1
,1.69-0
,1.68-1
,1.68-0
,1.67-0
,1.66-1
,1.66-0
,1.64_1-0
,1.61-0
,1.51-1
,1.51-0
- Depends
libgcc-ng
>=10.3.0
libstdcxx-ng
>=10.3.0
r-base
>=4.1,<4.2.0a0
r-dynamictreecut
>=1.62
r-matrixstats
>=0.8.1
r-rcpp
>=0.11.0
- 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>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/r-wgcna/README.html)