Package: messina
Type: Package
Title: Single-gene classifiers and outlier-resistant detection of
        differential expression for two-group and survival problems
Version: 1.26.0
Date: 2014-03-20
Authors@R: c(person(given = "Mark", family = "Pinese", role = c("aut",
        "cre", "cph"), email = "m.pinese@garvan.org.au"))
Description: 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.
biocViews: GeneExpression, DifferentialExpression,
        BiomedicalInformatics, Classification, Survival
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
Suggests: knitr (>= 1.5), antiProfilesData (>= 0.99.2), Biobase (>=
        2.22.0), BiocStyle
Enhances: doMC (>= 1.3.3)
LinkingTo: Rcpp
BuildDepends: roxygen2 (>= 3.1.0)
VignetteBuilder: knitr
Roxygen: list(wrap = TRUE)
Author: Mark Pinese [aut], Mark Pinese [cre], Mark Pinese [cph]
Maintainer: Mark Pinese <mpinese@ccia.org.au>
git_url: https://git.bioconductor.org/packages/messina
git_branch: RELEASE_3_12
git_last_commit: a628730
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-27
NeedsCompilation: yes
Packaged: 2020-10-28 02:41:46 UTC; biocbuild
Built: R 4.0.3; i386-w64-mingw32; 2020-10-28 14:38:09 UTC; windows
Archs: i386, x64
