Malakar P K, Barker G C
Institute of Food Research, Norwich Research Park, Colney, Norwich NR4 7UA, United Kingdom.
Appl Environ Microbiol. 2009 Oct;75(19):6399-401. doi: 10.1128/AEM.00651-09. Epub 2009 Jul 31.
Risk from an uncertain small inoculum depends on variability of single-cell lag times. However, quantifying single-cell variability is technically challenging. It is possible to estimate this variability using population growth parameters. We demonstrate this possibility using data from literature and show a Bayesian scheme for performing this task.
来自不确定小接种量的风险取决于单细胞延迟期的变异性。然而,量化单细胞变异性在技术上具有挑战性。利用群体生长参数来估计这种变异性是可能的。我们使用文献数据证明了这种可能性,并展示了一种执行此任务的贝叶斯方法。