Uncovering High-Order Epistatic Interactions in GWAS via a Machine Learning-Based Feature Engineering Framework
Jinyoung Byun, Dheeman Saha, Younghun Han, Vikram R. Shaw, Katherine Siminovitch, Christopher Ian Amos
The paper introduces a machine learning framework to detect high-order genetic interactions in GWAS by encoding decision paths from classification trees as features, improving model accuracy and interpretability.
bioRxiv · Aug 9, 2026 · PreprintGenomics