Would large dataset sample size unveil the potential of deep neural networks for improved genome-enabled prediction of complex traits? The case for body weight in broilers

Would large dataset sample size unveil the potential of deep neural networks for improved genome-enabled prediction of complex traits? The case for body weight in broilers

Abstract Background Deep neural networks (DNN) are a particular case of artificial neural networks (ANN) composed by multiple hidden layers, and have recently gained attention in genome-enabled prediction of complex traits. Yet, few studies in genome-enabled prediction have assessed the performance...

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Bibliographic Details
Main Authors: Tiago L. Passafaro, Fernando B. Lopes, João R. R. Dórea, Mark Craven, Vivian Breen, Rachel J. Hawken, Guilherme J. M. Rosa
Format: Article
Language:English
Published: BMC 2020-11-01
Series:BMC Genomics
Subjects:
Body weight
Broilers
Deep neural networks
Genome-enabled prediction
And multilayer perceptron
Online Access:http://link.springer.com/article/10.1186/s12864-020-07181-x

Internet

http://link.springer.com/article/10.1186/s12864-020-07181-x

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