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messina

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

Bioconductor version: 3.24 · Package version: 1.49.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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.

DOI: 10.18129/B9.bioc.messina

Installation

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

BiocManager::install("messina")

Details

MaintainerMark Pinese <mpinese@ccia.org.au>
AuthorMark Pinese [aut], Mark Pinese [cre], Mark Pinese [cph]
LicenseEPL (>= 1.0)
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsBiomedicalInformatics, Classification, DifferentialExpression, GeneExpression, Software, Survival
Package Short Url https://bioconductor.org/packages/messina/

Citation

From within R, enter citation("messina"):

Mark Pinese. messina: Single-gene classifiers and outlier-resistant detection of differential expression for two-group and survival problems. doi:10.18129/B9.bioc.messina, R package version 1.49.0, https://bioconductor.org/packages/messina.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagemessina_1.49.0.tar.gz
Windows binary (x86_64)messina_1.49.0.zip
macOS binary (arm64)messina_1.49.0.tgz
macOS binary (x86_64)messina_1.49.0.tgz
Dependencies

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

Enhances: doMC (>= 1.3.3)