recipe bioconductor-nnnorm

This package allows to detect and correct for spatial and intensity biases with two-channel microarray data. The normalization method implemented in this package is based on robust neural networks fitting.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/nnNorm.html

License

LGPL

Recipe

/bioconductor-nnnorm/meta.yaml

Links

biotools: nnnorm, doi: 10.1093/bioinformatics/bti397

package bioconductor-nnnorm

(downloads) docker_bioconductor-nnnorm

Versions

2.48.0-0, 2.46.0-0, 2.44.0-0, 2.42.0-0, 2.40.0-0

Depends bioconductor-marray

>=1.62.0,<1.63.0

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-nnet

Requirements

Installation

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

conda install bioconductor-nnnorm

and update with:

conda update bioconductor-nnnorm

or use the docker container:

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

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