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messina

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

Bioconductor version: Release (2.14)

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 <m.pinese at garvan.org.au>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("messina")

Documentation

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

browseVignettes("messina")

 

PDF R Script Using Messina
PDF   Reference Manual
Text   NEWS

Details

biocViews BiomedicalInformatics, Classification, DifferentialExpression, GeneExpression, Software, Survival
Version 1.0.0
In Bioconductor since BioC 2.14 (R-3.1)
License EPL (>= 1.0)
Depends R (>= 3.1.0), survival (>= 2.37-4), methods
Imports Rcpp (>= 0.11.1), plyr (>= 1.8), ggplot2 (>= 0.9.3.1), grid (>= 3.1.0), foreach (>= 1.4.1), graphics
Suggests knitr (>= 1.5), antiProfilesData(>= 0.99.2), Biobase(>= 2.22.0), BiocStyle
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Package Archives

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Package Source messina_1.0.0.tar.gz
Windows Binary messina_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) messina_1.0.0.tgz
Mac OS X 10.9 (Mavericks) messina_1.0.0.tgz
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