recipe bioconductor-mcbiclust

Custom made algorithm and associated methods for finding, visualising and analysing biclusters in large gene expression data sets. Algorithm is based on with a supplied gene set of size n, finding the maximum strength correlation matrix containing m samples from the data set.

Homepage

https://bioconductor.org/packages/3.8/bioc/html/MCbiclust.html

License

GPL-2

Recipe

/bioconductor-mcbiclust/meta.yaml

package bioconductor-mcbiclust

Versions

1.6.0-0

Depends

• bioconductor-annotationdbi >=1.44.0,<1.45.0

• bioconductor-biocparallel >=1.16.0,<1.17.0

• bioconductor-go.db >=3.7.0,<3.8.0

• bioconductor-org.hs.eg.db >=3.7.0,<3.8.0

• r-base >=3.5.1,<3.5.2.0a0

• r-cluster

• r-ggally

• r-ggplot2

• r-scales

• r-wgcna

Required By

Installation

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

conda install bioconductor-mcbiclust

and update with:

conda update bioconductor-mcbiclust

or use the docker container:

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

(see bioconductor-mcbiclust/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-mcbiclust/README.html)