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An experimental design tool to optimize inference precision in data-driven mathematical models of bacterial infections in vivo

The management of bacterial diseases calls for a detailed knowledge about the dynamic changes in host–bacteria interactions. Biological insights are gained by integrating experimental data with mechanistic mathematical models to infer experimentally unobservable quantities. This inter-disciplinary f...

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Detalles Bibliográficos
Publicado en:J R Soc Interface
Main Authors: Vlazaki, Myrto, Price, David J., Restif, Olivier
Formato: Artigo
Idioma:Inglês
Publicado: The Royal Society 2020
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7811585/
https://ncbi.nlm.nih.gov/pubmed/33323052
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2020.0717
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