recipe r-leapp

These functions take a gene expression value matrix, a primary covariate vector, an additional known covariates matrix. A two stage analysis is applied to counter the effects of latent variables on the rankings of hypotheses. The estimation and adjustment of latent effects are proposed by Sun, Zhang and Owen (2011). “leapp” is developed in the context of microarray experiments, but may be used as a general tool for high throughput data sets where dependence may be involved.

Homepage

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

License

GPL3 / GPL (>= 2)

Recipe

/r-leapp/meta.yaml

package r-leapp

(downloads) docker_r-leapp

Versions

1.2-0

Depends bioconductor-sva

Depends r-base

>=3.5.1,<3.5.2.0a0

Depends r-corpcor

Depends r-mass

Requirements

Installation

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

conda install r-leapp

and update with:

conda update r-leapp

or use the docker container:

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

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

Link to this page

Render an install-with-bioconda 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-leapp/README.html)