Package: biosigner
Type: Package
Title: Signature discovery from omics data
Version: 1.24.2
Date: 2022-06-22
Authors@R: 
    c(person("Philippe", "Rinaudo", email = "phd.rinaudo@gmail.com", role = c("aut")),
    person("Etienne A.", "Thevenot", email = "etienne.thevenot@cea.fr", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1019-4577")))
Maintainer: Etienne A. Thevenot <etienne.thevenot@cea.fr>
biocViews: Classification, FeatureExtraction, Transcriptomics,
        Proteomics, Metabolomics, Lipidomics, MassSpectrometry
Description: Feature selection is critical in omics data analysis to extract
    restricted and meaningful molecular signatures from complex and high-dimension
    data, and to build robust classifiers. This package implements a new method to
    assess the relevance of the variables for the prediction performances of the
    classifier. The approach can be run in parallel with the PLS-DA, Random Forest,
    and SVM binary classifiers. The signatures and the corresponding 'restricted'
    models are returned, enabling future predictions on new datasets. A Galaxy
    implementation of the package is available within the Workflow4metabolomics.org
    online infrastructure for computational metabolomics.
Imports: Biobase, methods, e1071, grDevices, graphics,
        MultiAssayExperiment, MultiDataSet, randomForest, ropls, stats,
        SummarizedExperiment, utils
Suggests: BioMark, BiocGenerics, BiocStyle, golubEsets, hu6800.db,
        knitr, omicade4, rmarkdown, testthat
VignetteBuilder: knitr
License: CeCILL
Encoding: UTF-8
LazyLoad: yes
URL: http://dx.doi.org/10.3389/fmolb.2016.00026
NeedsCompilation: no
Packaged: 2022-06-23 21:29:31 UTC; biocbuild
RoxygenNote: 7.2.0
Author: Philippe Rinaudo [aut],
  Etienne A. Thevenot [aut, cre]
    (<https://orcid.org/0000-0003-1019-4577>)
git_url: https://git.bioconductor.org/packages/biosigner
git_branch: RELEASE_3_15
git_last_commit: 8f8c386
git_last_commit_date: 2022-06-22
Date/Publication: 2022-06-23
Built: R 4.2.0; ; 2022-06-24 10:19:46 UTC; windows
