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Likelihood based observability analysis and confidence intervals for predictions of dynamic models
BACKGROUND: Predicting a system’s behavior based on a mathematical model is a primary task in Systems Biology. If the model parameters are estimated from experimental data, the parameter uncertainty has to be translated into confidence intervals for model predictions. For dynamic models of biochemic...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3490710/ https://ncbi.nlm.nih.gov/pubmed/22947028 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1752-0509-6-120 |
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