GARS
GARS: Genetic Algorithm for the identification of Robust Subsets of variables in high-dimensional and challenging datasets
Bioconductor version: 3.23 · Package version: 1.32.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GARS")Details
| Maintainer | Mattia Chiesa <mattia.chiesa@hotmail.it> |
| Author | Mattia Chiesa <mattia.chiesa@hotmail.it>, Luca Piacentini <luca.piacentini@cardiologicomonzino.it> |
| License | GPL (>= 2) |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Classification, Clustering, FeatureExtraction, Software |
| Package Short Url | https://bioconductor.org/packages/GARS/ |
Citation
From within R, enter citation("GARS"):
Mattia Chiesa, Luca Piacentini. GARS: GARS: Genetic Algorithm for the identification of Robust Subsets of variables in high-dimensional and challenging datasets. doi:10.18129/B9.bioc.GARS, R package version 1.32.0, https://bioconductor.org/packages/GARS.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | GARS_1.32.0.tar.gz |
| Windows binary (x86_64) | GARS_1.32.0.zip |
| macOS binary (arm64) | GARS_1.32.0.tgz |
| macOS binary (x86_64) | GARS_1.32.0.tgz |