recipe bioconductor-ruvcorr

Removal of unwanted variation for gene-gene correlations and related analysis

Homepage:

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

License:

GPL-2

Recipe:

/bioconductor-ruvcorr/meta.yaml

RUVcorr allows to apply global removal of unwanted variation (ridged version of RUV) to real and simulated gene expression data.

package bioconductor-ruvcorr

(downloads) docker_bioconductor-ruvcorr

versions:
1.34.0-01.32.0-01.30.0-01.26.0-01.24.0-01.22.0-11.22.0-01.20.0-01.18.0-1

1.34.0-01.32.0-01.30.0-01.26.0-01.24.0-01.22.0-11.22.0-01.20.0-01.18.0-11.16.0-11.14.0-0

depends bioconductor-biocparallel:

>=1.36.0,<1.37.0

depends bioconductor-bladderbatch:

>=1.40.0,<1.41.0

depends r-base:

>=4.3,<4.4.0a0

depends r-corrplot:

depends r-gridextra:

depends r-lattice:

depends r-mass:

depends r-psych:

depends r-reshape2:

depends r-snowfall:

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-ruvcorr

and update with::

   mamba update bioconductor-ruvcorr

To create a new environment, run:

mamba create --name myenvname bioconductor-ruvcorr

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-ruvcorr:<tag>

(see `bioconductor-ruvcorr/tags`_ for valid values for ``<tag>``)

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