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Bringing metabolic networks to life: integration of kinetic, metabolic, and proteomic data
BACKGROUND: Translating a known metabolic network into a dynamic model requires reasonable guesses of all enzyme parameters. In Bayesian parameter estimation, model parameters are described by a posterior probability distribution, which scores the potential parameter sets, showing how well each of t...
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| Hoofdauteurs: | , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2006
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1781439/ https://ncbi.nlm.nih.gov/pubmed/17173670 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1742-4682-3-42 |
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