recipe bioconductor-waddr

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

Homepage:

https://bioconductor.org/packages/3.20/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:

1.20.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.12.0-0,  1.8.0-2,  1.8.0-1,  1.8.0-0,  1.6.1-0, 

1.20.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.12.0-0,  1.8.0-2,  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:

>=2.14.0,<2.15.0

depends bioconductor-biocfilecache:

>=2.14.0,<2.15.0a0

depends bioconductor-biocparallel:

>=1.40.0,<1.41.0

depends bioconductor-biocparallel:

>=1.40.0,<1.41.0a0

depends bioconductor-singlecellexperiment:

>=1.28.0,<1.29.0

depends bioconductor-singlecellexperiment:

>=1.28.0,<1.29.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx:

>=13

depends r-arm:

>=1.10-1

depends r-base:

>=4.4,<4.5.0a0

depends r-eva:

depends r-rcpp:

>=1.0.1

depends r-rcpparmadillo:

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-waddr

and update with::

   mamba update bioconductor-waddr

To create a new environment, run:

mamba create --name myenvname bioconductor-waddr

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, 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)