Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle

BACKGROUND: Recently, artificial neural networks (ANN) have been proposed as promising machines for marker-based genomic predictions of complex traits in animal and plant breeding. ANN are universal approximators of complex functions, that can capture cryptic relationships between SNPs (single nucle...

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Detalles Bibliográficos
Autores principales: Ehret, Anita, Hochstuhl, David, Gianola, Daniel, Thaller, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379719/
https://www.ncbi.nlm.nih.gov/pubmed/25886037
http://dx.doi.org/10.1186/s12711-015-0097-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379719/
https://www.ncbi.nlm.nih.gov/pubmed/25886037
http://dx.doi.org/10.1186/s12711-015-0097-5

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