文章基本信息

标题：Robust dose-response curve estimation applied to high content screening data analysis
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作者：Thuy Tuong Nguyen ; Kyungmin Song ; Yury Tsoy 等
期刊名称：Source Code for Biology and Medicine
印刷版ISSN：1751-0473
电子版ISSN：1751-0473
出版年度：2014
卷号：9
期号：1
页码：27
DOI：10.1186/s13029-014-0027-x
语种：English
出版社：BioMed Central
摘要：Successfully automated sigmoidal curve fitting is highly challenging when applied to large data sets. In this paper, we describe a robust algorithm for fitting sigmoid dose-response curves by estimating four parameters (floor, window, shift, and slope), together with the detection of outliers. We propose two improvements over current methods for curve fitting. The first one is the detection of outliers which is performed during the initialization step with correspondent adjustments of the derivative and error estimation functions. The second aspect is the enhancement of the weighting quality of data points using mean calculation in Tukey’s biweight function. Automatic curve fitting of 19,236 dose-response experiments shows that our proposed method outperforms the current fitting methods provided by MATLAB®;’s nlinfit nlinfit function and GraphPad’s Prism software.
关键词：High content screening ; Dose response curve ; Curve fitting ; Sigmoidal function ; Weighting function ; Outlier detection