recipe r-smartsva

Introduces a fast and efficient Surrogate Variable Analysis algorithm that captures variation of unknown sources (batch effects) for high-dimensional data sets. The algorithm is built on the ‘irwsva.build’ function of the ‘sva’ package and proposes a revision on it that achieves an order of magnitude faster running time while trading no accuracy loss in return.

Homepage

https://CRAN.R-project.org/package=SmartSVA

License

GPL3 / GPL-3

Recipe

/r-smartsva/meta.yaml

package r-smartsva

(downloads) docker_r-smartsva

Versions

0.1.3-1, 0.1.3-0

Depends
Required By

Installation

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

conda install r-smartsva

and update with:

conda update r-smartsva

or use the docker container:

docker pull quay.io/biocontainers/r-smartsva:<tag>

(see r-smartsva/tags for valid values for <tag>)