recipe bioconductor-mlinterfaces

Uniform interfaces to R machine learning procedures for data in Bioconductor containers

Homepage

https://bioconductor.org/packages/3.14/bioc/html/MLInterfaces.html

License

LGPL

Recipe

/bioconductor-mlinterfaces/meta.yaml

Links

biotools: mlinterfaces, doi: 10.1038/nmeth.3252

This package provides uniform interfaces to machine learning code for data in R and Bioconductor containers.

package bioconductor-mlinterfaces

Versions

1.74.0-1,  1.74.0-0,  1.72.0-0,  1.70.0-1,  1.70.0-0,  1.68.0-0,  1.66.0-0,  1.64.0-1,  1.62.0-0, 

1.74.0-1,  1.74.0-0,  1.72.0-0,  1.70.0-1,  1.70.0-0,  1.68.0-0,  1.66.0-0,  1.64.0-1,  1.62.0-0,  1.60.1-0,  1.58.0-0

Depends

• bioconductor-annotate >=1.72.0,<1.73.0

• bioconductor-biobase >=2.54.0,<2.55.0

• bioconductor-biocgenerics >=0.40.0,<0.41.0

• bioconductor-genefilter >=1.76.0,<1.77.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=10.3.0

• liblapack >=3.8.0,<4.0a0

• libstdcxx-ng >=10.3.0

• r-base >=4.1,<4.2.0a0

• r-cluster

• r-fpc

• r-gbm

• r-gdata

• r-ggvis

• r-hwriter

• r-magrittr

• r-mass

• r-mlbench

• r-pls

• r-rcolorbrewer

• r-rcpp

• r-rpart

• r-sfsmisc

• r-shiny

• r-threejs >=0.2.2

Required By

• bioconductor-proloc

• bioconductor-sigcheck

Installation

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

conda install bioconductor-mlinterfaces

and update with:

conda update bioconductor-mlinterfaces

or use the docker container:

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

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

Download stats

Link to this page

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