Improved non-parametric statistical methods for the estimation of Michaelis-Menten kinetic parameters by the direct linear plot.
Improved non-parametric statistical methods for the estimation of Michaelis-Menten kinetic parameters by the direct linear plot.
复制标题
改进的非参数统计方法，通过直接线性图估计 Michaelis-Menten 动力学参数。
作者：
W. Porter;W. Trager
重新研究了直接线性图的理论基础[Eisenthal & Cornish-Bowden（1974）Biochem. J. 139，715-720]，这是一种用于分析拟合Michaelis-Menten方程的数据的非参数统计方法，以适应额外的实验设计，并提供与通过参数统计方法获得的结果更直接可比的精密度估计值。给出了计算估计参数的置信上限和下限的方法，用于容纳重复测量和比较两个单独的实验的结果。影响实验设计的因素进行了讨论。
The theoretical basis for the direct linear plot [Eisenthal & Cornish-Bowden (1974) Biochem. J. 139, 715-720], a non-parametric statistical method for the analysis of data-fitting the Michaelis-Menten equation, was reinvestigated in order to accommodate additional experimental designs and to provide estimates of precision more directly comparable with those obtained by parametric statistical methods. Methods are given for calculating upper and lower confidence limits for the estimated parameters, for accommodating replicate measurements and for comparing the results of two separate experiments. Factors that influence the proper design of experiments are discussed.