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BioGA

Bioinformatics Genetic Algorithm (BioGA)

Bioconductor version: 3.23 · Package version: 1.6.0

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.

Installation

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

BiocManager::install("BioGA")

Details

MaintainerDany Mukesha <danymukesha@gmail.com>
AuthorDany Mukesha [aut, cre] (ORCID: <https://orcid.org/0009-0001-9514-751X>)
LicenseMIT + file LICENSE
URLhttps://danymukesha.github.io/BioGA/
Bug Reportshttps://github.com/danymukesha/BioGA/issues
Downloads rank150
Source branchRELEASE_3_23
biocViewsExperimentalDesign, Software, Technology

Documentation

Download

Dependencies

Depends: R (>= 4.4)

Imports: ggplot2, graphics, Rcpp, SummarizedExperiment, animation, rlang, biocViews, sessioninfo, BiocStyle

LinkingTo: Rcpp

Suggests: knitr, rmarkdown, testthat (>= 3.0.0)