recipe bioconductor-mlseq

Machine Learning Interface for RNA-Seq Data

Homepage

https://bioconductor.org/packages/3.10/bioc/html/MLSeq.html

License

GPL(>=2)

Recipe

/bioconductor-mlseq/meta.yaml

Links

biotools: mlseq, doi: 10.1038/nmeth.3252

This package applies several machine learning methods, including SVM, bagSVM, Random Forest and CART to RNA-Seq data.

package bioconductor-mlseq

Versions

2.4.0-0, 2.2.1-1, 2.0.0-0, 1.20.3-0, 1.18.0-0

Depends

• bioconductor-biobase >=2.46.0,<2.47.0

• bioconductor-deseq2 >=1.26.0,<1.27.0

• bioconductor-edger >=3.28.0,<3.29.0

• bioconductor-limma >=3.42.0,<3.43.0

• bioconductor-sseq >=1.24.0,<1.25.0

• bioconductor-summarizedexperiment >=1.16.0,<1.17.0

• r-base >=3.6,<3.7.0a0

• r-caret

• r-foreach

• r-ggplot2

• r-plyr

• r-xtable

Required By

• bioconductor-gars

Installation

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

conda install bioconductor-mlseq

and update with:

conda update bioconductor-mlseq

or use the docker container:

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

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