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BioGA

This is the development version of BioGA; for the stable release version, see BioGA.

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3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20

Bioinformatics Genetic Algorithm (BioGA)

DOI: 10.18129/B9.bioc.BioGA

Bioconductor version: Development (3.24)

Genetic algorithm are a class of optimization algorithms inspired by the process of natural selection and genetics. This package allows users to analyze and optimize high throughput genomic data using genetic algorithms. The functions provided are implemented in C++ for improved speed and efficiency, with an easy-to-use interface for use within R.

Author: Dany Mukesha [aut, cre] ORCID: 0009-0001-9514-751X

Maintainer: Dany Mukesha <danymukesha at gmail.com>

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

Dany Mukesha. BioGA: Bioinformatics Genetic Algorithm (BioGA). doi:10.18129/B9.bioc.BioGA, R package version 1.7.0, https://bioconductor.org/packages/BioGA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("BioGA")

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("BioGA")

Details

Package Archives

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