recipe bioconductor-rankprod

Rank Product method for identifying differentially expressed genes with application in meta-analysis

Homepage:

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

License:

file LICENSE

Recipe:

/bioconductor-rankprod/meta.yaml

Links:

biotools: rankprod, doi: 10.1093/bioinformatics/btl476

Non-parametric method for identifying differentially expressed (up- or down- regulated) genes based on the estimated percentage of false predictions (pfp). The method can combine data sets from different origins (meta-analysis) to increase the power of the identification.

package bioconductor-rankprod

(downloads) docker_bioconductor-rankprod

versions:
3.28.0-03.26.0-03.24.0-03.20.0-03.18.0-03.16.0-13.16.0-03.14.0-03.12.0-0

3.28.0-03.26.0-03.24.0-03.20.0-03.18.0-03.16.0-13.16.0-03.14.0-03.12.0-03.10.0-13.10.0-03.8.0-03.6.0-03.4.0-0

depends r-base:

>=4.3,<4.4.0a0

depends r-gmp:

depends r-rmpfr:

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-rankprod

and update with::

   mamba update bioconductor-rankprod

To create a new environment, run:

mamba create --name myenvname bioconductor-rankprod

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-rankprod:<tag>

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

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