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

被引：0
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作者：
Tiago L. Passafaro
Fernando B. Lopes
João R. R. Dórea
Mark Craven
Vivian Breen
Rachel J. Hawken
Guilherme J. M. Rosa
机构：
[1] University of Wisconsin,Department of Animal and Dairy Sciences
[2] Cobb-Vantress Inc.,Department of Biostatistics & Medical Informatics
[3] University of Wisconsin,Department of Computer Sciences
[4] University of Wisconsin,undefined
来源：
BMC Genomics | / 21卷
关键词：
Body weight; Broilers; Deep neural networks; Genome-enabled prediction; And multilayer perceptron;
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  • [1] 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
    Passafaro, Tiago L.
    Lopes, Fernando B.
    Dorea, Joao R. R.
    Craven, Mark
    Breen, Vivian
    Hawken, Rachel J.
    Rosa, Guilherme J. M.
    [J]. BMC GENOMICS, 2020, 21 (01)
  • [2] Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle
    Anita Ehret
    David Hochstuhl
    Daniel Gianola
    Georg Thaller
    [J]. Genetics Selection Evolution, 47
  • [3] Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle
    Ehret, Anita
    Hochstuhl, David
    Gianola, Daniel
    Thaller, Georg
    [J]. GENETICS SELECTION EVOLUTION, 2015, 47
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