Comparison of Genomic Best Linear Unbiased Prediction and Bayesian Regularization Neural Networks for Genomic Selection

Comparison of Genomic Best Linear Unbiased Prediction and Bayesian Regularization Neural Networks for Genomic Selection

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. Simulated and actual d...

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Bibliographic Details
Main Author: Mahmut Sinecen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Single nucleotide polymorphisms
genomic prediction
GBLUP
Neural network
Bayesian regularization
cross-validation
Online Access:https://ieeexplore.ieee.org/document/8734070/

Internet

https://ieeexplore.ieee.org/document/8734070/

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