recipe bioconductor-factdesign

Factorial designed microarray experiment analysis






This package provides a set of tools for analyzing data from a factorial designed microarray experiment, or any microarray experiment for which a linear model is appropriate. The functions can be used to evaluate tests of contrast of biological interest and perform single outlier detection.

package bioconductor-factdesign

(downloads) docker_bioconductor-factdesign



depends bioconductor-biobase:


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-factdesign

and update with::

   mamba update bioconductor-factdesign

To create a new environment, run:

mamba create --name myenvname bioconductor-factdesign

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

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