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

Versions

0.1.3-2,  0.1.3-1,  0.1.3-0

Depends

• bioconductor-sva

• libgcc-ng >=7.3.0

• libstdcxx-ng >=7.3.0

• r-base >=4.0,<4.1.0a0

• r-isva

• r-rcpp

• r-rcppeigen

• r-rspectra

Required By

• bioconductor-meal

• bioconductor-omicrexposome

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>)

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/r-smartsva/README.html)