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Constructing non-stationary Dynamic Bayesian Networks with a flexible lag choosing mechanism
BACKGROUND: Dynamic Bayesian Networks (DBNs) are widely used in regulatory network structure inference with gene expression data. Current methods assumed that the underlying stochastic processes that generate the gene expression data are stationary. The assumption is not realistic in certain applica...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026374/ https://www.ncbi.nlm.nih.gov/pubmed/20946611 http://dx.doi.org/10.1186/1471-2105-11-S6-S27 |