recipe bioconductor-dama

Efficient design and analysis of factorial two-colour microarray data



GPL (>= 2)




biotools: dama, doi: 10.1016/j.csda.2004.08.014

This package contains functions for the efficient design of factorial two-colour microarray experiments and for the statistical analysis of factorial microarray data. Statistical details are described in Bretz et al. (2003, submitted)

package bioconductor-dama

(downloads) docker_bioconductor-dama



depends r-base:


depends r-mass:



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-dama

and update with::

   mamba update bioconductor-dama

To create a new environment, run:

mamba create --name myenvname bioconductor-dama

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

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