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Our examine demonstrates the feasibility of Integer Linear Programming (ILP) to style a mid-density genotyping panel from heterogenous source information. While in the absence of available high-self-assurance targets, and presented the design requirements and goals can be expressed as linear equations, ILP is more explainable than machine learning