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/3.8/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:

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

Depends:
Required By:

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>)