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Customized Steady-State Constraints for Parameter Estimation in Non-Linear Ordinary Differential Equation Models
Ordinary differential equation models have become a wide-spread approach to analyze dynamical systems and understand underlying mechanisms. Model parameters are often unknown and have to be estimated from experimental data, e.g., by maximum-likelihood estimation. In particular, models of biological...
Autores principales: | Rosenblatt, Marcus, Timmer, Jens, Kaschek, Daniel |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863410/ https://www.ncbi.nlm.nih.gov/pubmed/27243005 http://dx.doi.org/10.3389/fcell.2016.00041 |
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