Package Recipe 'bioconductor-mlseq'

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/3.9/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
Depends bioconductor-deseq2: >=1.22.0,<1.23.0
Depends bioconductor-edger: >=3.24.0,<3.25.0
Depends bioconductor-limma: >=3.38.0,<3.39.0
Depends bioconductor-sseq: >=1.20.0,<1.21.0
Depends bioconductor-summarizedexperiment: >=1.12.0,<1.13.0
Depends r-base: >=3.5.1,<3.5.2.0a0
Depends r-caret
Depends r-foreach
Depends r-ggplot2
Depends r-plyr
Depends r-xtable
Requirements

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)