Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat
<p>Abstract</p> <p>Background</p> <p>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 Bay...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2011-10-01
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Series: | BMC Genetics |
Online Access: | http://www.biomedcentral.com/1471-2156/12/87 |