Efficient gradient-based parameter estimation for dynamic models using qualitative data

MOTIVATION: Unknown parameters of dynamical models are commonly estimated from experimental data. However, while various efficient optimization and uncertainty analysis methods have been proposed for quantitative data, methods for qualitative data are rare and suffer from bad scaling and convergence...

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Detalles Bibliográficos
Autores principales: Schmiester, Leonard, Weindl, Daniel, Hasenauer, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8652033/
https://www.ncbi.nlm.nih.gov/pubmed/34260697
http://dx.doi.org/10.1093/bioinformatics/btab512

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8652033/
https://www.ncbi.nlm.nih.gov/pubmed/34260697
http://dx.doi.org/10.1093/bioinformatics/btab512

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