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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994295/ https://www.ncbi.nlm.nih.gov/pubmed/27549154 http://dx.doi.org/10.1186/s12918-016-0319-7 |