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

(downloads) docker_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>)