recipe bioconductor-randrotation

Random Rotation Methods for High Dimensional Data with Batch Structure

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/randRotation.html

License:

GPL-3

Recipe:

/bioconductor-randrotation/meta.yaml

A collection of methods for performing random rotations on high-dimensional, normally distributed data (e.g. microarray or RNA-seq data) with batch structure. The random rotation approach allows exact testing of dependent test statistics with linear models following arbitrary batch effect correction methods.

package bioconductor-randrotation

versions:

1.14.0-0,  1.12.0-0,  1.10.0-0,  1.6.0-0,  1.4.0-0,  1.2.1-0,  1.2.0-0,  1.0.0-0

depends r-base:

>=4.3,<4.4.0a0

depends r-rdpack:

>=0.7

requirements:

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-randrotation

and update with::

   mamba update bioconductor-randrotation

To create a new environment, run:

mamba create --name myenvname bioconductor-randrotation

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-randrotation:<tag>

(see `bioconductor-randrotation/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-randrotation/README.html)