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Our research demonstrates the feasibility of Integer Linear Programming (ILP) to style and design a mid-density genotyping panel from heterogenous source details. Inside the absence of available high-confidence targets, and delivered the design criteria and targets could be expressed as linear equations, ILP is more explainable than device learning

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