FMQA optimizes MDR classification error rates to identify predefined high-order epistatic interactions in simulated genetic datasets within limited iterations.
MDR-ER: balancing functions for adjusting the ratio in risk classes and classification errors for imbalanced cases and controls using multifactor- dimensionality reduction
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High-Order Epistasis Detection Using Factorization Machine with Quadratic Optimization Annealing and MDR-Based Evaluation
FMQA optimizes MDR classification error rates to identify predefined high-order epistatic interactions in simulated genetic datasets within limited iterations.