title: Robust dose-response curve estimation applied to high content screening data analysis.
abstract: METHODS
  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.
  
  
  CONCLUSIONS
  Automatic curve fitting of 19,236 dose-response experiments shows that our proposed method outperforms the current fitting methods provided by MATLAB®;'s nlinfit function and GraphPad's Prism software.
authors.affiliation: University of California, Davis, USA.
authors.forename: Thuy Tuong
authors.initials: TT
authors.lastname: Nguyen
authors.affiliation: Seoul National University, Seoul, South Korea.
authors.forename: Kyungmin
authors.initials: K
authors.lastname: Song
authors.affiliation: Institut Pasteur Korea, Seongnam-si, Gyeonggi-do South Korea.
authors.forename: Yury
authors.initials: Y
authors.lastname: Tsoy
authors.affiliation: Institut Pasteur Korea, Seongnam-si, Gyeonggi-do South Korea.
authors.forename: Jin Yeop
authors.initials: JY
authors.lastname: Kim
authors.affiliation: Samsung Medical Center, Seoul, South Korea.
authors.forename: Yong-Jun
authors.initials: YJ
authors.lastname: Kwon
authors.affiliation: Seoul National University, Seoul, South Korea.
authors.forename: Myungjoo
authors.initials: M
authors.lastname: Kang
authors.affiliation: Videometer A/S, Horsholm, Denmark.
authors.forename: Michael Adsetts
authors.initials: MA
authors.lastname: Edberg Hansen
keywords: Curve fitting; Dose response curve; High content screening; Outlier detection; Sigmoidal function; Weighting function