recipe bioconductor-simplifyenrichment

Simplify Functional Enrichment Results

Homepage

https://bioconductor.org/packages/3.14/bioc/html/simplifyEnrichment.html

License

MIT + file LICENSE

Recipe

/bioconductor-simplifyenrichment/meta.yaml

A new clustering algorithm, binary cut, for clustering similarity matrices of functional terms is implemeted in this package. It also provideds functionalities for visualizing, summarizing and comparing the clusterings.

package bioconductor-simplifyenrichment

Versions

1.4.0-0,  1.2.0-0,  1.0.0-1,  1.0.0-0

Depends

• bioconductor-annotationdbi >=1.56.0,<1.57.0

• bioconductor-biocgenerics >=0.40.0,<0.41.0

• bioconductor-complexheatmap >=2.10.0,<2.11.0

• bioconductor-go.db >=3.14.0,<3.15.0

• bioconductor-gosemsim >=2.20.0,<2.21.0

• bioconductor-org.hs.eg.db >=3.14.0,<3.15.0

• r-base >=4.1,<4.2.0a0

• r-circlize

• r-clue

• r-cluster >=1.14.2

• r-digest

• r-getoptlong

• r-matrix

• r-proxyc

• r-slam

• r-tm

Required By

Installation

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

conda install bioconductor-simplifyenrichment

and update with:

conda update bioconductor-simplifyenrichment

or use the docker container:

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

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