recipe bioconductor-ccpromise

PROMISE analysis with Canonical Correlation for Two Forms of High Dimensional Genetic Data



GPL (>= 2)



Perform Canonical correlation between two forms of high demensional genetic data, and associate the first compoent of each form of data with a specific biologically interesting pattern of associations with multiple endpoints. A probe level analysis is also implemented.

package bioconductor-ccpromise

(downloads) docker_bioconductor-ccpromise



depends bioconductor-biobase:


depends bioconductor-gseabase:


depends bioconductor-promise:


depends r-base:


depends r-ccp:



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-ccpromise

and update with::

   mamba update bioconductor-ccpromise

To create a new environment, run:

mamba create --name myenvname bioconductor-ccpromise

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

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