https://github.com/danymukesha/bioga

Apply multi-objective genetic algorithms to genomic data for biologically informed feature selection and pattern discovery.
https://github.com/danymukesha/bioga

data-analysis gene-expression genetic-algorithms genomics optimization-algorithms

Last synced: 9 months ago
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Apply multi-objective genetic algorithms to genomic data for biologically informed feature selection and pattern discovery.

• Host: GitHub
• URL: https://github.com/danymukesha/bioga
• Owner: danymukesha
• License: other
• Created: 2024-02-11T01:29:38.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-07-09T21:18:35.000Z (12 months ago)
• Last Synced: 2025-09-08T10:58:15.796Z (10 months ago)
• Topics: data-analysis, gene-expression, genetic-algorithms, genomics, optimization-algorithms
• Language: C++
• Homepage: https://danymukesha.github.io/BioGA/
• Size: 13.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 5
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.md
  • License: LICENSE

Awesome Lists containing this project

README

          
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

    collapse = TRUE,

    comment = "#>",

    fig.path = "man/figures/README-",

    out.width = "100%"

)

library(BiocStyle)

```

  [![R-CMD-check](https://github.com/danymukesha/BioGA/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/danymukesha/BioGA/actions/workflows/R-CMD-check.yaml)

  [![](https://img.shields.io/badge/devel%20version-0.99.6-blue.svg)](https://github.com/danymukesha/BioGA)

  [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.15801072.svg)](https://doi.org/10.5281/zenodo.15801072)

  

  

# BioGA 

`r Biocpkg("BioGA")` package provides a set of functions for genetic algorithm 

optimization adapted for analyzing high throughput genomic data. 

These functions are implemented in C++ for improved speed and efficiency, 

with an easy-to-use interface for use within R.

## Installation

To install this package, start R (preferably version "4.4") and enter:

```{r installation , eval=FALSE}

if (!require("BiocManager", quietly = TRUE))

    install.packages("BiocManager")

# The following initializes usage of Bioc devel

BiocManager::install(version='devel')

BiocManager::install(pkgs = "BioGA", version = "devel", force = TRUE)

```

You can also install the package directly from GitHub 

using the `devtools` package:

```{r installation_from_github , eval=FALSE}

devtools::install_github("danymukesha/BioGA")

```