pyPESTO: a modular and scalable tool for parameter estimation for dynamic models

SUMMARY: Mechanistic models are important tools to describe and understand biological processes. However, they typically rely on unknown parameters, the estimation of which can be challenging for large and complex systems. pyPESTO is a modular framework for systematic parameter estimation, with scal...

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Detalles Bibliográficos
Autores principales: Schälte, Yannik, Fröhlich, Fabian, Jost, Paul J, Vanhoefer, Jakob, Pathirana, Dilan, Stapor, Paul, Lakrisenko, Polina, Wang, Dantong, Raimúndez, Elba, Merkt, Simon, Schmiester, Leonard, Städter, Philipp, Grein, Stephan, Dudkin, Erika, Doresic, Domagoj, Weindl, Daniel, Hasenauer, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689677/
https://www.ncbi.nlm.nih.gov/pubmed/37995297
http://dx.doi.org/10.1093/bioinformatics/btad711

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689677/
https://www.ncbi.nlm.nih.gov/pubmed/37995297
http://dx.doi.org/10.1093/bioinformatics/btad711

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