recipe bioconductor-netresponse

Functional Network Analysis

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/netresponse.html

License:

GPL (>=2)

Recipe:

/bioconductor-netresponse/meta.yaml

Algorithms for functional network analysis. Includes an implementation of a variational Dirichlet process Gaussian mixture model for nonparametric mixture modeling.

package bioconductor-netresponse

Versions:

1.58.0-0,  1.54.0-2,  1.54.0-1,  1.54.0-0,  1.52.0-0,  1.50.0-1,  1.50.0-0,  1.48.0-0,  1.46.0-0, 

1.58.0-0,  1.54.0-2,  1.54.0-1,  1.54.0-0,  1.52.0-0,  1.50.0-1,  1.50.0-0,  1.48.0-0,  1.46.0-0,  1.44.0-1,  1.42.0-0

Depends:

• bioconductor-biocstyle >=2.26.0,<2.27.0

• bioconductor-graph >=1.76.0,<1.77.0

• bioconductor-minet >=3.56.0,<3.57.0

• bioconductor-qvalue >=2.30.0,<2.31.0

• bioconductor-rgraphviz >=2.42.0,<2.43.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• r-base >=4.2,<4.3.0a0

• r-ggplot2

• r-igraph

• r-mclust

• r-plyr

• r-rcolorbrewer

• r-reshape2

• r-rmarkdown

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-netresponse

and update with:

conda update bioconductor-netresponse

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-netresponse:<tag>

(see bioconductor-netresponse/tags for valid values for <tag>)

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-netresponse/README.html)