recipe bioconductor-mlseq

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

Homepage:https://bioconductor.org/packages/3.8/bioc/html/MLSeq.html License:GPL(>=2) Recipe:/bioconductor-mlseq/meta.yaml Links:biotools: mlseq, doi: 10.1038/nmeth.3252

package bioconductor-mlseq

Versions:

2.0.0-0, 1.20.3-0, 1.18.0-0

Depends:

• bioconductor-biobase >=2.42.0,<2.43.0
• bioconductor-deseq2 >=1.22.0,<1.23.0
• bioconductor-edger >=3.24.0,<3.25.0
• bioconductor-limma >=3.38.0,<3.39.0
• bioconductor-sseq >=1.20.0,<1.21.0
• bioconductor-summarizedexperiment >=1.12.0,<1.13.0
• r-base >=3.5.1,<3.5.2.0a0
• 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)