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This is the development version of messina; for the stable release version, see messina.

Single-gene classifiers and outlier-resistant detection of differential expression for two-group and survival problems

Bioconductor version: Development (3.20)

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.

Author: Mark Pinese [aut], Mark Pinese [cre], Mark Pinese [cph]

Maintainer: Mark Pinese <mpinese at>

Citation (from within R, enter citation("messina")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Using Messina PDF R Script
Reference Manual PDF


biocViews BiomedicalInformatics, Classification, DifferentialExpression, GeneExpression, Software, Survival
Version 1.41.0
In Bioconductor since BioC 2.14 (R-3.1) (10 years)
License EPL (>= 1.0)
Depends R (>= 3.1.0), survival (>= 2.37-4), methods
Imports Rcpp (>= 0.11.1), plyr (>= 1.8), ggplot2 (>=, grid (>= 3.1.0), foreach (>= 1.4.1), graphics
System Requirements
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Suggests knitr (>= 1.5), antiProfilesData(>= 0.99.2), Biobase(>= 2.22.0), BiocStyle
Linking To Rcpp
Enhances doMC (>= 1.3.3)
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Source Package messina_1.41.0.tar.gz
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