recipe bioconductor-clippda

A package for the clinical proteomic profiling data analysis



GPL (>=2)



Methods for the nalysis of data from clinical proteomic profiling studies. The focus is on the studies of human subjects, which are often observational case-control by design and have technical replicates. A method for sample size determination for planning these studies is proposed. It incorporates routines for adjusting for the expected heterogeneities and imbalances in the data and the within-sample replicate correlations.

package bioconductor-clippda

(downloads) docker_bioconductor-clippda



depends bioconductor-biobase:


depends bioconductor-limma:


depends r-base:


depends r-lattice:

depends r-rgl:

depends r-scatterplot3d:

depends r-statmod:



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-clippda

and update with::

   mamba update bioconductor-clippda

To create a new environment, run:

mamba create --name myenvname bioconductor-clippda

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

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