recipe bioconductor-peca

Probe-level Expression Change Averaging



GPL (>= 2)




biotools: peca, doi: 10.1007/978-1-4939-6518-2_11

Calculates Probe-level Expression Change Averages (PECA) to identify differential expression in Affymetrix gene expression microarray studies or in proteomic studies using peptide-level mesurements respectively.

package bioconductor-peca

(downloads) docker_bioconductor-peca



depends bioconductor-affy:


depends bioconductor-genefilter:


depends bioconductor-limma:


depends bioconductor-preprocesscore:


depends bioconductor-rots:


depends r-aroma.affymetrix:

depends r-aroma.core:

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-peca

and update with::

   mamba update bioconductor-peca

To create a new environment, run:

mamba create --name myenvname bioconductor-peca

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-peca/tags`_ for valid values for ``<tag>``)

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