recipe bioconductor-lapmix

Laplace Mixture Model in Microarray Experiments



GPL (>= 2)




biotools: lapmix, doi: 10.1093/biostatistics/kxj032

Laplace mixture modelling of microarray experiments. A hierarchical Bayesian approach is used, and the hyperparameters are estimated using empirical Bayes. The main purpose is to identify differentially expressed genes.

package bioconductor-lapmix

(downloads) docker_bioconductor-lapmix



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-lapmix

and update with::

   mamba update bioconductor-lapmix

To create a new environment, run:

mamba create --name myenvname bioconductor-lapmix

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

Download stats