Mini-batch optimization enables training of ODE models on large-scale datasets

Quantitative dynamic models are widely used to study cellular signal processing. A critical step in modelling is the estimation of unknown model parameters from experimental data. As model sizes and datasets are steadily growing, established parameter optimization approaches for mechanistic models b...

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Detalles Bibliográficos
Autores principales: Stapor, Paul, Schmiester, Leonard, Wierling, Christoph, Merkt, Simon, Pathirana, Dilan, Lange, Bodo M. H., Weindl, Daniel, Hasenauer, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748893/
https://www.ncbi.nlm.nih.gov/pubmed/35013141
http://dx.doi.org/10.1038/s41467-021-27374-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748893/
https://www.ncbi.nlm.nih.gov/pubmed/35013141
http://dx.doi.org/10.1038/s41467-021-27374-6

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