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messina

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 (3.19)

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 ccia.org.au>

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

Installation

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


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("messina")

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

Documentation

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

browseVignettes("messina")
Using Messina PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews BiomedicalInformatics, Classification, DifferentialExpression, GeneExpression, Software, Survival
Version 1.39.0
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 (>= 0.9.3.1), grid (>= 3.1.0), foreach (>= 1.4.1), graphics
System Requirements
URL
See More
Suggests knitr (>= 1.5), antiProfilesData(>= 0.99.2), Biobase(>= 2.22.0), BiocStyle
Linking To Rcpp
Enhances doMC (>= 1.3.3)
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package messina_1.39.0.tar.gz
Windows Binary messina_1.39.0.zip
macOS Binary (x86_64) messina_1.39.0.tgz
macOS Binary (arm64) messina_1.39.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/messina
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/messina
Bioc Package Browser https://code.bioconductor.org/browse/messina/
Package Short Url https://bioconductor.org/packages/messina/
Package Downloads Report Download Stats