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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...
Gardado en:
| Publicado en: | J R Soc Interface |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
The Royal Society
2020
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| Assuntos: | |
| 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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