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Benchmarking optimization methods for parameter estimation in large kinetic models
MOTIVATION: Kinetic models contain unknown parameters that are estimated by optimizing the fit to experimental data. This task can be computationally challenging due to the presence of local optima and ill-conditioning. While a variety of optimization methods have been suggested to surmount these is...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394396/ https://www.ncbi.nlm.nih.gov/pubmed/30816929 http://dx.doi.org/10.1093/bioinformatics/bty736 |