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Our analyze demonstrates the feasibility of Integer Linear Programming (ILP) to design a mid-density genotyping panel from heterogenous source data. While in the absence of readily available high-self-assurance targets, and offered the design conditions and goals is usually expressed as linear equations, ILP is more explainable than device learning