Mathematical modeling advances microbiology by enforcing logical consistency, enabling quantitative predictions, extracting hidden parameters from data, and generating intuition, with pragmatic criteria for model selection illustrated via a microbial ecosystem case study.
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Mathematical modeling and intuition in microbiology: a perspective
Mathematical modeling advances microbiology by enforcing logical consistency, enabling quantitative predictions, extracting hidden parameters from data, and generating intuition, with pragmatic criteria for model selection illustrated via a microbial ecosystem case study.