dyneth02/FDM-Labs

Comprehensive machine learning framework for genomic analysis and predictive modeling. This repository showcases advanced classification and clustering techniques using XGBoost, CatBoost, LightGBM, and RandomForest to identify genetic disorders. Includes association rule mining with Apriori and unsupervised geographical clustering via KMeans.

19
/ 100
Experimental
No Package No Dependents
Maintenance 6 / 25
Adoption 4 / 25
Maturity 9 / 25
Community 0 / 25

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8

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Language

Jupyter Notebook

License

MIT

Category

genomic-variant-analysis

Last pushed

Dec 25, 2025

Commits (30d)

0

GitHub
Genomic Variant Analysis · 61 frameworks

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