Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat

BACKGROUND: In the study of associations between genomic data and complex phenotypes there may be relationships that are not amenable to parametric statistical modeling. Such associations have been investigated mainly using single-marker and Bayesian linear regression models that differ in their dis...

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Detalles Bibliográficos
Autores principales: Gianola, Daniel, Okut, Hayrettin, Weigel, Kent A, Rosa, Guilherme JM
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3474182/
https://www.ncbi.nlm.nih.gov/pubmed/21981731
http://dx.doi.org/10.1186/1471-2156-12-87

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3474182/
https://www.ncbi.nlm.nih.gov/pubmed/21981731
http://dx.doi.org/10.1186/1471-2156-12-87

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