Ma Jia, Zhao Huaying, Schuck Peter
Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA.
Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA.
Anal Biochem. 2015 Aug 15;483:1-3. doi: 10.1016/j.ab.2015.04.029. Epub 2015 May 7.
The quality of fit of sedimentation velocity data is critical to judge the veracity of the sedimentation model and accuracy of the derived macromolecular parameters. Absolute statistical measures are usually complicated by the presence of characteristic systematic errors and run-to-run variation in the stochastic noise of data acquisition. We present a new graphical approach to visualize systematic deviations between data and model in the form of a histogram of residuals. In comparison with the ideally expected Gaussian distribution, it can provide a robust measure of fit quality and be used to flag poor models.
沉降速度数据的拟合质量对于判断沉降模型的准确性以及所推导的大分子参数的精度至关重要。由于存在特征性系统误差以及数据采集随机噪声中的逐次变化，绝对统计量通常会变得复杂。我们提出一种新的图形方法，以残差直方图的形式直观呈现数据与模型之间的系统偏差。与理想的高斯分布相比，它能够提供一种稳健的拟合质量度量，并用于标记不佳的模型。
