recipe bioconductor-svaplsseq

SVAPLSseq-An R package to estimate the hidden factors of unwanted variability and adjust for them to enable a more powerful and accurate differential expression analysis based on RNAseq data

Homepage

https://bioconductor.org/packages/3.10/bioc/html/SVAPLSseq.html

License

GPL-3

Recipe

/bioconductor-svaplsseq/meta.yaml

Links

biotools: svaplsseq, doi: 10.1101/062125

The package contains functions that are intended for extracting the signatures of latent variation in RNAseq data and using them to perform an improved differential expression analysis for a set of features (genes, transcripts) between two specified biological groups.

package bioconductor-svaplsseq

(downloads) docker_bioconductor-svaplsseq

Versions

1.12.0-0, 1.10.0-1, 1.8.1-0, 1.8.0-0, 1.6.0-0, 1.4.0-0

Depends
Required By

Installation

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

conda install bioconductor-svaplsseq

and update with:

conda update bioconductor-svaplsseq

or use the docker container:

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

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