messina

DOI: 10.18129/B9.bioc.messina    

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

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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	1.14.0
In Bioconductor since	BioC 2.14 (R-3.1) (4 years)
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
LinkingTo	Rcpp
Suggests	knitr (>= 1.5), antiProfilesData(>= 0.99.2), Biobase(>= 2.22.0), BiocStyle
SystemRequirements
Enhances	doMC (>= 1.3.3)
URL
Depends On Me
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Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	messina_1.14.0.tar.gz
Windows Binary	messina_1.14.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	messina_1.14.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/messina
Package Short Url	http://bioconductor.org/packages/messina/
Package Downloads Report	Download Stats