Quantitative Framework for Model Evaluation in Microbiology Research Using <italic toggle="yes">Pseudomonas aeruginosa</italic> and Cystic Fibrosis Infection as a Test Case
ABSTRACT Laboratory models are a cornerstone of modern microbiology, but the accuracy of these models has not been systematically evaluated. As a result, researchers often choose models based on intuition or incomplete data. We propose a general quantitative framework to assess model accuracy from R...
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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
American Society for Microbiology
2020
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/fc699cfcf8404da5a9ed7966015b5d96 |
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