Mercurial > repos > jay > feature_selector
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planemo upload for repository https://github.com/jaidevjoshi83/MicroBiomML commit 5ef78d4decc95ac107c468499328e7f086289ff9-dirty
| author | jay |
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| date | Tue, 17 Feb 2026 10:52:45 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/README.md Tue Feb 17 10:52:45 2026 +0000 @@ -0,0 +1,41 @@ +# MicroBiomML + +This repository contains supporting materials for the research article "_Large-scale classification of metagenomic samples: a comparative analysis of classical machine learning techniques vs a novel brain-inspired hyperdimensional computing approach_". + +## Overview + +MicroBiomML provides Galaxy tools and pipelines for running classical machine learning (ML) methods on metagenomic datasets sourced from the curatedMetagenomicData R package. In addition, it includes a dedicated Galaxy tool for comparing the performance of traditional ML techniques versus a new brain-inspired hyperdimensional computing (HDC) classification approach. + +## Features + +- __Classical Machine Learning Tools__: Scripts and workflows for applying common ML algorithms (e.g., Random Forest, Support Vector Machines, etc.) to metagenomic data. +- __HDC Tool__: An implementation of the hyperdimensional computing approach for the classification and feature selection of metagenomic data. +- __Galaxy Integration__: All tools and pipelines are wrapped as Galaxy tools for easy execution and reproducibility. + +## Getting Started + +### Prerequisites + +- Galaxy installation +- R and the curatedMetagenomicData package + +### Usage + +- Install the Galaxy tools from this repository. +- Import metagenomic datasets via curatedMetagenomicData. +- Run the available ML or HDC pipelines within Galaxy. +- Compare results using the dedicated comparison tool. + +## Citation + +If you utilize these tools in your research, please cite: + +> _Manuscript in preparation_ + +## Contact + +For questions or further information, contact [Jayadev Joshi](mailto:joshij@ccf.org) and [Fabio Cumbo](mailto:cumbof@ccf.org). + +## License + +This work is distributed under the MIT License. \ No newline at end of file