Package: messina 1.49.0

Mark Pinese

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

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.

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

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manual.pdf |manual.html✨
card.svg |card.png
messina/json (API)
NEWS

# Install 'messina' in R:
install.packages('messina', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • kirc.exprs - Example TCGA KIRC RNAseq expression and survival data
  • kirc.surv - Example TCGA KIRC RNAseq expression and survival data

On BioConductor:messina-1.49.0(bioc 3.24)messina-1.48.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

geneexpressiondifferentialexpressionbiomedicalinformaticsclassificationsurvivalcpp

3.30 score 4 scripts 406 downloads 6 exports 25 dependencies

Last updated from:1d3b0924cd. Checks:4 WARNING, 8 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksWARNING153
linux-devel-arm64NOTE221
linux-devel-x86_64NOTE233
source / vignettesOK335
linux-release-arm64NOTE205
linux-release-x86_64NOTE233
macos-release-arm64NOTE139
macos-release-x86_64NOTE378
macos-oldrel-arm64NOTE143
macos-oldrel-x86_64NOTE326
windows-develWARNING193
windows-releaseWARNING200
windows-oldrelWARNING219
wasm-releaseOK131

Exports:messinamessinaDEmessinaSurvmessinaTopResultsplotshow

Dependencies:clicodetoolscpp11farverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecycleMatrixplyrR6RColorBrewerRcpprlangS7scalessurvivalvctrsviridisLitewithr

Using Messina

Rendered frommessina.Rnwusingknitr::knitron May 30 2026.

Last update: 2014-03-21
Started: 2014-03-21

Readme and manuals

Help Manual

Help pageTopics
The Messina package for classification and outlier differential expression.messina-package
Find optimal single feature classifiersmessina
Detect differential expression in the presence of outliersmessinaDE
The MessinaFits classMessinaFits-class
The MessinaParameters classMessinaParameters-class
The MessinaResult classMessinaClassResult-class MessinaResult-class MessinaSurvResult-class
Find optimal prognostic features using the Messina algorithmmessinaSurv
Display a summary of the top results from a Messina analysismessinaTopResults
Plot the results of a Messina analysis on a classification / differential expression problem.plot,MessinaClassResult,missing-method plot,MessinaClassResult-method
Plot the results of a Messina analysis on a survival problem.plot,MessinaSurvResult,missing-method plot,MessinaSurvResult-method
Generic show methods for Messina objects.show,MessinaFits-method show,MessinaParameters-method show,MessinaResult-method
Example TCGA KIRC RNAseq expression and survival datakirc.exprs kirc.surv tcga_kirc_example