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Our review demonstrates the feasibility of Integer Linear Programming (ILP) to design a mid-density genotyping panel from heterogenous source details. During the absence of readily available high-self-confidence targets, and presented the look criteria and goals is usually expressed as linear equations, ILP is more explainable than machine learning