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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| 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 |