recipe bioconductor-mcbiclust

Massive correlating biclusters for gene expression data and associated methods

Homepage:

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

License:

GPL-2

Recipe:

/bioconductor-mcbiclust/meta.yaml

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.

package bioconductor-mcbiclust

Versions:

1.22.0-0,  1.18.0-0,  1.16.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.6.0-0

Depends:

• bioconductor-annotationdbi >=1.60.0,<1.61.0

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-go.db >=3.16.0,<3.17.0

• bioconductor-org.hs.eg.db >=3.16.0,<3.17.0

• r-base >=4.2,<4.3.0a0

• r-cluster

• r-ggally

• r-ggplot2

• r-scales

• r-wgcna

Required By:

Installation

With an activated Bioconda channel (see 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>)

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