BioGA
This is the development version of BioGA; for the stable release version, see BioGA.
Bioinformatics Genetic Algorithm (BioGA)
Bioconductor version: Development (3.21)
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:
Maintainer: Dany Mukesha <danymukesha at gmail.com>
citation("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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BioGA")| Introduction | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | ExperimentalDesign, Software, Technology |
| Version | 1.1.0 |
| In Bioconductor since | BioC 3.20 (R-4.4) (< 6 months) |
| License | MIT + file LICENSE |
| Depends | R (>= 4.4) |
| Imports | ggplot2, graphics, Rcpp, SummarizedExperiment, animation, rlang, biocViews, sessioninfo, BiocStyle |
| System Requirements | |
| URL | https://danymukesha.github.io/BioGA/ |
| Bug Reports | https://github.com/danymukesha/BioGA/issues |
See More
| Suggests | knitr, rmarkdown, testthat (>= 3.0.0) |
| Linking To | Rcpp |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | BioGA_1.1.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/BioGA |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/BioGA |
| Bioc Package Browser | https://code.bioconductor.org/browse/BioGA/ |
| Package Short Url | https://bioconductor.org/packages/BioGA/ |
| Package Downloads Report | Download Stats |