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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...
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| Publicado en: | Bioinformatics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Oxford University Press
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6394396/ https://ncbi.nlm.nih.gov/pubmed/30816929 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty736 |
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