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...

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Detalles Bibliográficos
Autores principales: Fiedler, Anna, Raeth, Sebastian, Theis, Fabian J., Hausser, Angelika, Hasenauer, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology Article
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

Internet

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

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