用于模型判别的统计方法。在乙酰胆碱受体通道门控动力学和通透方面的应用。
Statistical methods for model discrimination. Applications to gating kinetics and permeation of the acetylcholine receptor channel.
作者信息
Horn R
出版信息
Biophys J. 1987 Feb;51(2):255-63. doi: 10.1016/S0006-3495(87)83331-3.
Abstract
Methods are described for discrimination of models of the gating kinetics and permeation of single ionic channels. Both maximum likelihood and regression procedures are discussed. In simple situations, where models are nested, standard hypothesis tests can be used. More commonly, however, non-nested models are of interest, and several procedures are described for model discrimination in these cases, including Monte Carlo methods, which allow the comparison of models at significance levels of choice. As an illustration, the methods are applied to single-channel data from acetylcholine receptor channels.
摘要
描述了用于区分单离子通道门控动力学模型和渗透模型的方法。讨论了最大似然法和回归程序。在模型嵌套的简单情况下，可以使用标准假设检验。然而，更常见的是，非嵌套模型更受关注，本文描述了几种在这些情况下进行模型区分的程序，包括蒙特卡罗方法，该方法允许在选定的显著性水平上比较模型。作为示例，将这些方法应用于乙酰胆碱受体通道的单通道数据。
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