R implementation for meBLUP
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Updated
May 2, 2022 - R
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gebvs
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Reproducible genomic prediction study comparing L1/L2-regularized artificial neural networks with GBLUP-ADE under a frozen cross-validation design, using canonical simulated-data workflows, workflowr, and renv.
reproducible-research machine-learning-algorithms cross-validation bioinformatics-pipeline rstats statistical-genetics l2-regularization genomic-selection quantitative-genetics animal-breeding workflowr l1-regularization genomic-prediction regularization-methods artificial-neural-networks-ann computational-biology-datasets overfitting-reduced plant-breeding-data gebvs gblup
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Updated
Sep 8, 2026 - R
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