Unbiased Estimation of Mutation Rates under Fluctuating Final Counts
Unbiased Estimation of Mutation Rates under Fluctuating Final Counts
复制标题
最终计数波动下突变率的无偏估计
作者：
B. Ycart;N. Veziris
Luria-Delbrück波动分析中突变率（或概率）的估计方法通常假设细胞的最终数量从一种培养物到另一种培养物保持恒定。我们发现，这导致系统性地低估了突变率。考虑两个水平的最终数量的信息：变异系数已独立估计，或每个培养物中的细胞的最终数量是已知的。在这两种情况下，提出了无偏估计方法。从理论上和通过蒙特-卡罗模拟来评估它们的统计特性。作为一个应用，从两个著名的波动分析研究结核分枝杆菌的数据进行了重新检查。
Estimation methods for mutation rates (or probabilities) in Luria-Delbrück fluctuation analysis usually assume that the final number of cells remains constant from one culture to another. We show that this leads to systematically underestimate the mutation rate. Two levels of information on final numbers are considered: either the coefficient of variation has been independently estimated, or the final number of cells in each culture is known. In both cases, unbiased estimation methods are proposed. Their statistical properties are assessed both theoretically and through Monte-Carlo simulation. As an application, the data from two well known fluctuation analysis studies on Mycobacterium tuberculosis are reexamined.
Luria-Delbruck 波动分析的陷阱和实践：回顾。
影响因子：
11.2
作者：
Kendal,WS;Frost,P
通讯作者：
Frost,P
影响因子：
4.3
作者：
Dewanji, A;Luebeck, EG;Moolgavkar, SH
通讯作者：
Moolgavkar, SH