This is the development version of BioGA; for the stable release version, see BioGA.
Bioinformatics Genetic Algorithm (BioGA)Bioconductor version: Development (3.22)
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, entercitation("BioGA")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("BioGA")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BioGA")Follow Installation instructions to use this package in your R session.
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