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/3.9/bioc/html/MCbiclust.html

License

GPL-2

Recipe

/bioconductor-mcbiclust/meta.yaml

package bioconductor-mcbiclust

(downloads) docker_bioconductor-mcbiclust

Versions

1.6.0-0

Depends bioconductor-annotationdbi

>=1.44.0,<1.45.0

Depends bioconductor-biocparallel

>=1.16.0,<1.17.0

Depends bioconductor-go.db

>=3.7.0,<3.8.0

Depends bioconductor-org.hs.eg.db

>=3.7.0,<3.8.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-cluster

Depends r-ggally

Depends r-ggplot2

Depends r-scales

Depends r-wgcna

Requirements

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>)