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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Bibliographic Details
Main Authors: Daniel M. Cornforth, Frances L. Diggle, Jeffrey A. Melvin, Jennifer M. Bomberger, Marvin Whiteley
Format: article
Language:EN
Published: American Society for Microbiology 2020
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Online Access:https://doaj.org/article/fc699cfcf8404da5a9ed7966015b5d96
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