Bayesian calibration of a stochastic, multiscale agent-based model for predicting in vitro tumor growth

Hybrid multiscale agent-based models (ABMs) are unique in their ability to simulate individual cell interactions and microenvironmental dynamics. Unfortunately, the high computational cost of modeling individual cells, the inherent stochasticity of cell dynamics, and numerous model parameters are fu...

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Detalles Bibliográficos
Autores principales: Lima, Ernesto A. B. F., Faghihi, Danial, Philley, Russell, Yang, Jianchen, Virostko, John, Phillips, Caleb M., Yankeelov, Thomas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659698/
https://www.ncbi.nlm.nih.gov/pubmed/34843457
http://dx.doi.org/10.1371/journal.pcbi.1008845

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659698/
https://www.ncbi.nlm.nih.gov/pubmed/34843457
http://dx.doi.org/10.1371/journal.pcbi.1008845

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