Vikram R. Shaw

Uncovering High-Order Epistatic Interactions in GWAS via a Machine Learning-Based Feature Engineering Framework

A novel tree-based feature engineering framework that uses Classification and Regression Trees (CART) to explicitly encode high-order interaction decision paths as dummy variables that significantly improves classification accuracy and model interpretability compared to using the original feature space alone is proposed.