Improving the accuracy of genomic prediction in dairy cattle using the biologically annotated neural networks framework

Improving the accuracy of genomic prediction in dairy cattle using the biologically annotated neural networks framework

Abstract Background Biologically annotated neural networks (BANNs) are feedforward Bayesian neural network models that utilize partially connected architectures based on SNP-set annotations. As an interpretable neural network, BANNs model SNP and SNP-set effects in their input and hidden layers, res...

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Bibliographic Details
Main Authors: Xue Wang, Shaolei Shi, Md. Yousuf Ali Khan, Zhe Zhang, Yi Zhang
Format: Article
Language:English
Published: BMC 2024-07-01
Series:Journal of Animal Science and Biotechnology
Subjects:
Biologically annotated neural networks
Dairy cattle
Genomic prediction
Online Access:https://doi.org/10.1186/s40104-024-01044-1

Internet

https://doi.org/10.1186/s40104-024-01044-1

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