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A graphical model approach for inferring large-scale networks integrating gene expression and genetic polymorphism
BACKGROUND: Graphical models (e.g., Bayesian networks) have been used frequently to describe complex interaction patterns and dependent structures among genes and other phenotypes. Estimation of such networks has been a challenging problem when the genes considered greatly outnumber the samples, and...
| 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/PMC2694152/ https://www.ncbi.nlm.nih.gov/pubmed/19473523 http://dx.doi.org/10.1186/1752-0509-3-55 |