BioGA
Bioinformatics Genetic Algorithm (BioGA)
Bioconductor version: 3.24 · Package version: 1.7.0
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
| Maintainer | Dany Mukesha <danymukesha@gmail.com> |
| Author | Dany Mukesha [aut, cre] (ORCID: <https://orcid.org/0009-0001-9514-751X>) |
| License | MIT + file LICENSE |
| URL | https://danymukesha.github.io/BioGA/ |
| Bug Reports | https://github.com/danymukesha/BioGA/issues |
| Downloads rank | 261 |
| Source branch | devel |
| biocViews | ExperimentalDesign, Software, Technology |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | BioGA_1.7.0.tar.gz |
| Windows binary (x86_64) | BioGA_1.7.0.zip |
| macOS binary (arm64) | BioGA_1.7.0.tgz |
| macOS binary (x86_64) | BioGA_1.7.0.tgz |
Dependencies
Depends: R (>= 4.4)
Imports: ggplot2, graphics, Rcpp, SummarizedExperiment, animation, rlang, biocViews, sessioninfo, BiocStyle
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)