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    DataSheet1_An effective hyper-parameter can increase the prediction accuracy in a single-step genetic evaluation.docx by Mehdi Neshat (16076795)

    Published 2023
    “…The tuning process (adjusting genomic relationships accounting for base allele frequencies) improves prediction accuracy in the simulated data, confirming previous studies, although the improvement is not statistically significant in the Hanwoo cattle data. We also demonstrate that a scale factor, α, which determines the relationship between allele frequency and per-allele effect size, can improve the HBLUP accuracy in both simulated and real data. …”
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