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Article

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

BMC genetics - 7 Oct 2011

Gianola Daniel, Okut Hayrettin, Weigel Kent A, Rosa Guilherme Jm

Abstract excerpt

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 distributions, but that assume additive inheritance while ignoring interactions and non-linearity. When interactions...

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Identifiers

PMID: 21981731
DOI: 10.1186/1471-2156-12-87
PMCID: PMC3474182

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Source receipt: pubmed, retrieved 7 Sept 2026.

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