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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...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2007
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2099481/ https://ncbi.nlm.nih.gov/pubmed/18047712 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-S7-S13 |
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