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 problemsBioconductor version: Development (3.22)
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, entercitation("messina")
): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("messina")
Details biocViews BiomedicalInformatics, Classification, DifferentialExpression, GeneExpression, Software, Survival Version 1.45.0 In Bioconductor since BioC 2.14 (R-3.1) (11 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 Package Archives
Follow Installation instructions to use this package in your R session.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4