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Tailored parameter optimization methods for ordinary differential equation models with steady-state constraints
BACKGROUND: Ordinary differential equation (ODE) models are widely used to describe (bio-)chemical and biological processes. To enhance the predictive power of these models, their unknown parameters are estimated from experimental data. These experimental data are mostly collected in perturbation ex...
Gorde:
| Argitaratua izan da: | BMC Syst Biol |
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| Egile Nagusiak: | , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BioMed Central
2016
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4994295/ https://ncbi.nlm.nih.gov/pubmed/27549154 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12918-016-0319-7 |
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