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Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
BACKGROUND: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a cell. In order to understand the underlying function of organisms, it is necessary to study the behavior of genes in a g...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2099481/ https://www.ncbi.nlm.nih.gov/pubmed/18047712 http://dx.doi.org/10.1186/1471-2105-8-S7-S13 |