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bio-machine-learning-prediction-explanation

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Explains machine learning predictions on omics data using SHAP values and LIME for feature attribution. Identifies which genes or features drive classifier decisions.

When to use

• interpreting biomarker classifiers
• understanding model predictions
• feature attribution
• global feature importance
• individual prediction explanation
• feature interactions

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