recipe bioconductor-dose

This package implements five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively for measuring semantic similarities among DO terms and gene products. Enrichment analyses including hypergeometric model and gene set enrichment analysis are also implemented for discovering disease associations of high-throughput biological data.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/DOSE.html

License

Artistic-2.0

Recipe

/bioconductor-dose/meta.yaml

Links

biotools: dose

package bioconductor-dose

(downloads) docker_bioconductor-dose

Versions

3.8.0-0, 3.6.1-0, 3.4.0-0, 3.2.0-0, 2.10.7-0, 2.10.6-0, 2.8.3-0, 2.8.2-0

Depends bioconductor-annotationdbi

>=1.44.0,<1.45.0

Depends bioconductor-biocparallel

>=1.16.0,<1.17.0

Depends bioconductor-do.db

2.9.*

Depends bioconductor-fgsea

>=1.8.0,<1.9.0

Depends bioconductor-gosemsim

>=2.8.0,<2.9.0

Depends bioconductor-qvalue

>=2.14.0,<2.15.0

Depends bioconductor-s4vectors

>=0.20.0,<0.21.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-ggplot2

Depends r-reshape2

Requirements

Installation

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

conda install bioconductor-dose

and update with:

conda update bioconductor-dose

or use the docker container:

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

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