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Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets
BACKGROUND: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phenotypes. The immense potential offered by these data derives from the fact that genotypic variation is the sole source of...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3032670/ https://www.ncbi.nlm.nih.gov/pubmed/21211042 http://dx.doi.org/10.1186/1471-2105-12-7 |