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Phenotype forecasting with SNPs data through gene-based Bayesian networks
BACKGROUND: Bayesian networks are powerful instruments to learn genetic models from association studies data. They are able to derive the existing correlation between genetic markers and phenotypic traits and, at the same time, to find the relationships between the markers themselves. However, learn...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2646249/ https://www.ncbi.nlm.nih.gov/pubmed/19208195 http://dx.doi.org/10.1186/1471-2105-10-S2-S7 |