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bio-machine-learning-omics-classifiers

Builds classification models for omics data using RandomForest, XGBoost, and logistic regression with sklearn-compatible APIs. Includes proper preprocessing and evaluation metrics for biomarker classifiers. Use when building diagnostic or prognostic classifiers from expression or variant data.

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Categorydevelopment
UpdatedMay 13, 2026
GPTomics/bioSkills