recipe bioconductor-classifyr

A framework for cross-validated classification problems, with applications to differential variability and differential distribution testing

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-classifyr/meta.yaml

Links:

biotools: classifyr

The software formalises a framework for classification in R. There are four stages; Data transformation, feature selection, classifier training, and prediction. The requirements of variable types and names are fixed, but specialised variables for functions can also be provided. The classification framework is wrapped in a driver loop, that reproducibly carries out a number of cross-validation schemes. Functions for differential expression, differential variability, and differential distribution are included. Additional functions may be developed by the user, by creating an interface to the framework.

package bioconductor-classifyr

Versions:

2.14.0-0,  2.12.0-0,  2.10.0-1,  2.10.0-0,  2.8.0-0,  2.6.0-0,  2.4.4-0,  2.2.6-0,  2.2.4-0, 

2.14.0-0,  2.12.0-0,  2.10.0-1,  2.10.0-0,  2.8.0-0,  2.6.0-0,  2.4.4-0,  2.2.6-0,  2.2.4-0,  2.0.10-0,  1.12.2-0

Depends:

• bioconductor-biocparallel >=1.28.0,<1.29.0

• bioconductor-multiassayexperiment >=1.20.0,<1.21.0

• bioconductor-s4vectors >=0.32.0,<0.33.0

• r-base >=4.1,<4.2.0a0

• r-locfit

• r-plyr

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-classifyr

and update with:

conda update bioconductor-classifyr

or use the docker container:

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

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

Download stats

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-classifyr/README.html)