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Synergistic Impacts of Organic Acids and pH on Growth of <i>Pseudomonas aeruginosa</i>: A Comparison of Parametric and Bayesian Non-parametric Methods to Model Growth.

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第一作者： Francesca M L,Bushell

第一单位： School of Biosciences, University of Birmingham, Birmingham, United Kingdom.;Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.

作者： Francesca M L,Bushell ^[1] ; Peter D,Tonner ^[2] ; Sara,Jabbari ^[3] ; Amy K,Schmid ^[4] ; Peter A,Lund ^[1]

作者单位： School of Biosciences, University of Birmingham, Birmingham, United Kingdom.;Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom. ^[1] Department of Biology, Duke University, Durham, NC, United States.;Statistical Engineering Division, National Institute of Standards and Technology, Gaithersburg, MD, United States. ^[2] Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.;School of Mathematics, University of Birmingham, Birmingham, United Kingdom. ^[3] Department of Biology, Duke University, Durham, NC, United States.;Center for Genomics and Computational Biology, Duke University, Durham, NC, United States. ^[4]

关键词 Gaussian process Pseudomonas aeruginosa low pH opportunistic pathogen organic acid parametric (model-based) analysis

DOI 10.3389/fmicb.2018.03196

PMID 30671033

发布时间 2025-05-30

基金项目

WT_/Wellcome Trust/United Kingdom G1002093/MRC_/Medical Research Council/United Kingdom

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