recipe bioconductor-amountain

Active modules for multilayer weighted gene co-expression networks: a continuous optimization approach

Homepage

https://bioconductor.org/packages/3.12/bioc/html/AMOUNTAIN.html

License

GPL (>= 2)

Recipe

/bioconductor-amountain/meta.yaml

Links

biotools: amountain, doi: 10.1101/056952

A pure data-driven gene network, weighted gene co-expression network (WGCN) could be constructed only from expression profile. Different layers in such networks may represent different time points, multiple conditions or various species. AMOUNTAIN aims to search active modules in multi-layer WGCN using a continuous optimization approach.

package bioconductor-amountain

Versions

1.16.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-0

Depends

• gsl >=2.6,<2.7.0a0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=7.5.0

• liblapack >=3.8.0,<4.0a0

• r-base >=4.0,<4.1.0a0

Required By

• bioconductor-moda

Installation

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

conda install bioconductor-amountain

and update with:

conda update bioconductor-amountain

or use the docker container:

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

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

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-amountain/README.html)