GARS

DOI: 10.18129/B9.bioc.GARS    

GARS: Genetic Algorithm for the identification of Robust Subsets of variables in high-dimensional and challenging datasets

Bioconductor version: Release (3.8)

Feature selection aims to identify and remove redundant, irrelevant and noisy variables from high-dimensional datasets. Selecting informative features affects the subsequent classification and regression analyses by improving their overall performances. Several methods have been proposed to perform feature selection: most of them relies on univariate statistics, correlation, entropy measurements or the usage of backward/forward regressions. Herein, we propose an efficient, robust and fast method that adopts stochastic optimization approaches for high-dimensional. GARS is an innovative implementation of a genetic algorithm that selects robust features in high-dimensional and challenging datasets.

Author: Mattia Chiesa <mattia.chiesa at hotmail.it>, Luca Piacentini <luca.piacentini at cardiologicomonzino.it>

Maintainer: Mattia Chiesa <mattia.chiesa at hotmail.it>

Citation (from within R, enter citation("GARS")):

Installation

To install this package, start R and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("GARS", version = "3.8")

Documentation

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

browseVignettes("GARS")

 

PDF R Script Titolo
PDF   Reference Manual
Text   NEWS

Details

biocViews Classification, Clustering, FeatureExtraction, Software
Version 1.2.0
License GPL (>= 2)
Depends R (>= 3.5), ggplot2, cluster
Imports DaMiRseq, MLSeq, stats, methods, SummarizedExperiment
LinkingTo
Suggests BiocStyle, knitr, 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 GARS_1.2.0.tar.gz
Windows Binary GARS_1.2.0.zip
Mac OS X 10.11 (El Capitan) GARS_1.2.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GARS
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GARS
Package Short Url http://bioconductor.org/packages/GARS/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: