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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("messina") Details
| Maintainer | Mark Pinese <mpinese@ccia.org.au> |
| Author | Mark Pinese [aut], Mark Pinese [cre], Mark Pinese [cph] |
| License | EPL (>= 1.0) |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | BiomedicalInformatics, 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 package | messina_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)