recipe bioconductor-mineica

Analysis of an ICA decomposition obtained on genomics data

Homepage

https://bioconductor.org/packages/3.11/bioc/html/MineICA.html

License

GPL-2

Recipe

/bioconductor-mineica/meta.yaml

Links

biotools: mineica, doi: 10.1155/2014/213656

The goal of MineICA is to perform Independent Component Analysis (ICA) on multiple transcriptome datasets, integrating additional data (e.g molecular, clinical and pathological). This Integrative ICA helps the biological interpretation of the components by studying their association with variables (e.g sample annotations) and gene sets, and enables the comparison of components from different datasets using correlation-based graph.

package bioconductor-mineica

(downloads) docker_bioconductor-mineica

Versions

1.28.0-01.26.0-01.24.0-11.22.0-01.18.0-0

Depends
Required By

Installation

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

conda install bioconductor-mineica

and update with:

conda update bioconductor-mineica

or use the docker container:

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

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