recipe bioconductor-deco

Decomposing Heterogeneous Cohorts using Omic Data Profiling

Homepage

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

License

GPL (>=3)

Recipe

/bioconductor-deco/meta.yaml

This package discovers differential features in hetero- and homogeneous omic data by a two-step method including subsampling LIMMA and NSCA. DECO reveals feature associations to hidden subclasses not exclusively related to higher deregulation levels.

package bioconductor-deco

Versions

1.4.0-0,  1.2.0-0,  1.0.0-1

Depends

• bioconductor-annotationdbi >=1.50.0,<1.51.0

• bioconductor-biobase >=2.48.0,<2.49.0

• bioconductor-biocparallel >=1.22.0,<1.23.0

• bioconductor-biocstyle >=2.16.0,<2.17.0

• bioconductor-limma >=3.44.0,<3.45.0

• bioconductor-made4 >=1.61.0,<1.62.0

• bioconductor-summarizedexperiment >=1.18.0,<1.19.0

• r-ade4

• r-base >=4.0,<4.1.0a0

• r-cluster

• r-foreign

• r-gdata

• r-ggplot2

• r-gplots

• r-gridextra

• r-locfit

• r-rcolorbrewer

• r-reshape2

• r-scatterplot3d

• r-sfsmisc

Required By

Installation

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

conda install bioconductor-deco

and update with:

conda update bioconductor-deco

or use the docker container:

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

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

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-deco/README.html)