biosigner

DOI: 10.18129/B9.bioc.biosigner    

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see biosigner.

Signature discovery from omics data

Bioconductor version: 3.9

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.

Author: Philippe Rinaudo <phd.rinaudo at gmail.com>, Etienne Thevenot <etienne.thevenot at cea.fr>

Maintainer: Philippe Rinaudo <phd.rinaudo at gmail.com>, Etienne Thevenot <etienne.thevenot at cea.fr>

Installation

To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("biosigner")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("biosigner")

 

HTML	R Script	Vignette Title
PDF		Reference Manual
Text		NEWS

Details

biocViews	Classification, FeatureExtraction, Lipidomics, Metabolomics, Proteomics, Software, Transcriptomics
Version	1.12.0
In Bioconductor since	BioC 3.3 (R-3.3) (3.5 years)
License	CeCILL
Depends	Biobase, ropls
Imports	methods, e1071, randomForest
LinkingTo
Suggests	BioMark, BiocGenerics, BiocStyle, golubEsets, hu6800.db, knitr, rmarkdown, testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	biosigner_1.12.0.tar.gz
Windows Binary	biosigner_1.12.0.zip
Mac OS X 10.11 (El Capitan)	biosigner_1.12.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/biosigner
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/biosigner
Package Short Url	https://bioconductor.org/packages/biosigner/
Package Downloads Report	Download Stats