bioconductor-messina

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Messina is a collection of algorithms for constructing optimally robust single-gene classifiers, and for identifying differential expression in the presence of outliers or unknown sample subgroups. The methods have application in identifying lead features to develop into clinical tests (both diagnostic and prognostic), and in identifying differential expression when a fraction of samples show unusual patterns of expression.

Home http://bioconductor.org/packages/3.6/bioc/html/messina.html
Versions 1.12.0, 1.14.0
License EPL (>= 1.0)
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-messina

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-messina

and update with:

conda update bioconductor-messina

docker

A Docker container is available at https://quay.io/repository/biocontainers/bioconductor-messina.