Comparison of Genomic Best Linear Unbiased Prediction and Bayesian Regularization Neural Networks for Genomic Selection
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DOI: 10.1109/access.2019.2922006
Abstract: This study assessed the predictive ability of genomic best linear unbiased prediction (GBLUP) and Bayesian regularization for feed-forward neural networks (BRNN-s1-s3-neuron) with one to three neurons using genomic relationship based on single nucleotide polymorphisms markers.… read more here.
Keywords: genomic best; best linear; neuron models; brnn ... See more keywords