Package: messina 1.48.0

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]

messina_1.48.0.tar.gz
messina_1.48.0.zip(r-4.7-x86_64)messina_1.48.0.zip(r-4.6-x86_64)messina_1.48.0.zip(r-4.5-x86_64)
messina_1.48.0.tgz(r-4.6-x86_64)messina_1.48.0.tgz(r-4.6-arm64)messina_1.48.0.tgz(r-4.5-x86_64)messina_1.48.0.tgz(r-4.5-arm64)
messina_1.48.0.tar.gz(r-4.7-arm64)messina_1.48.0.tar.gz(r-4.7-x86_64)messina_1.48.0.tar.gz(r-4.6-arm64)messina_1.48.0.tar.gz(r-4.6-x86_64)
messina_1.48.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
messina/json (API)

# Install 'messina' in R:
install.packages('messina', repos = c('https://bioc-release.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

2.30 score 2 scripts 6 exports 25 dependencies

Last updated from:950e121874 (on RELEASE_3_23). Checks:12 WARNING, 1 ERROR, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksWARNING159
linux-devel-arm64WARNING250
linux-devel-x86_64WARNING283
source / vignettesERROR3150
linux-release-arm64WARNING215
linux-release-x86_64WARNING239
macos-release-arm64WARNING178
macos-release-x86_64WARNING424
macos-oldrel-arm64WARNING126
macos-oldrel-x86_64WARNING343
windows-develWARNING210
windows-releaseWARNING218
windows-oldrelWARNING213
wasm-releaseOK149

Exports:messinamessinaDEmessinaSurvmessinaTopResultsplotshow

Dependencies:clicodetoolscpp11farverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecycleMatrixplyrR6RColorBrewerRcpprlangS7scalessurvivalvctrsviridisLitewithr

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