recipe bioconductor-waddr

Statistical tests for detecting differential distributions based on the 2-Wasserstein distance

Homepage:

https://bioconductor.org/packages/3.14/bioc/html/waddR.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-waddr/meta.yaml

The package offers statistical tests based on the 2-Wasserstein distance for detecting and characterizing differences between two distributions given in the form of samples. Functions for calculating the 2-Wasserstein distance and testing for differential distributions are provided, as well as a specifically tailored test for differential expression in single-cell RNA sequencing data.

package bioconductor-waddr

Versions:

1.8.0-1,  1.8.0-0,  1.6.1-0,  1.4.0-1,  1.4.0-0,  1.2.0-0,  1.0.0-0

Depends:

• bioconductor-biocfilecache >=2.2.0,<2.3.0

• bioconductor-biocparallel >=1.28.0,<1.29.0

• bioconductor-singlecellexperiment >=1.16.0,<1.17.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=10.3.0

• liblapack >=3.8.0,<4.0a0

• libstdcxx-ng >=10.3.0

• r-arm >=1.10-1

• r-base >=4.1,<4.2.0a0

• r-eva

• r-rcpp >=1.0.1

• r-rcpparmadillo

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-waddr

and update with:

conda update bioconductor-waddr

or use the docker container:

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

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

Download stats

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/bioconductor-waddr/README.html)