recipe bioconductor-affyplm

Methods for fitting probe-level models



GPL (>= 2)




biotools: affyplm

A package that extends and improves the functionality of the base affy package. Routines that make heavy use of compiled code for speed. Central focus is on implementation of methods for fitting probe-level models and tools using these models. PLM based quality assessment tools.

package bioconductor-affyplm

(downloads) docker_bioconductor-affyplm



depends bioconductor-affy:


depends bioconductor-affy:


depends bioconductor-biobase:


depends bioconductor-biobase:


depends bioconductor-biocgenerics:


depends bioconductor-biocgenerics:


depends bioconductor-gcrma:


depends bioconductor-gcrma:


depends bioconductor-preprocesscore:


depends bioconductor-preprocesscore:


depends bioconductor-zlibbioc:


depends bioconductor-zlibbioc:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends r-base:




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-affyplm

and update with::

   mamba update bioconductor-affyplm

To create a new environment, run:

mamba create --name myenvname bioconductor-affyplm

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<tag>

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

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