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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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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2011
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3474182/ https://ncbi.nlm.nih.gov/pubmed/21981731 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2156-12-87 |
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