BioGA

Optimize high-throughput genomic data analysis using genetic algorithms for efficient pattern discovery and feature selection.

https://github.com/danymukesha/bioga

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 3 DOI reference(s) in README
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Academic publication links
Links to: zenodo.org
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Scientific vocabulary similarity
Low similarity (14.8%) to scientific vocabulary

Keywords

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

Last synced: 6 months ago · JSON representation

Repository

Optimize high-throughput genomic data analysis using genetic algorithms for efficient pattern discovery and feature selection.

Basic Info

Host: GitHub
Owner: danymukesha
License: other
Language: C++
Default Branch: main
Homepage: https://danymukesha.github.io/BioGA/
Size: 13.1 MB

Statistics

Stars: 0
Watchers: 1
Forks: 0
Open Issues: 5
Releases: 1

Topics

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

Created about 2 years ago · Last pushed 8 months ago

Metadata Files

Readme Changelog License

README.Rmd

---
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")
```

Owner

Name: Dany Mukesha
Login: danymukesha
Kind: user
Location: Rome, Italy

Website: danymukesha.github.io
Repositories: 1
Profile: https://github.com/danymukesha

GitHub Events

Total

Issues event: 1
Push event: 12
Pull request event: 1
Create event: 1

Last Year

Issues event: 1
Push event: 12
Pull request event: 1
Create event: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 5
Total pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: 2 days
Total issue authors: 1
Total pull request authors: 1
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull requests: 1
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 4
Pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: 2 days
Issue authors: 1
Pull request authors: 1
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull requests: 1
Bot issues: 0
Bot pull requests: 0

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Top Authors

Issue Authors

danymukesha (5)

Pull Request Authors

danymukesha (2)

Top Labels

Issue Labels

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Packages

Total packages: 1
Total downloads:
- bioconductor 2,385 total

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 2
Total maintainers: 1

bioconductor.org: BioGA

Bioinformatics Genetic Algorithm (BioGA)

Homepage: https://danymukesha.github.io/BioGA/
Documentation: https://bioconductor.org/packages/release/bioc/vignettes/BioGA/inst/doc/BioGA.pdf
License: MIT + file LICENSE
Latest release: 1.2.0
published 9 months ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 2,385 Total

Rankings

Dependent repos count: 0.0%

Dependent packages count: 31.5%

Average: 42.1%

Downloads: 94.9%

Maintainers (1)

danymukesha@gmail.com