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Nonlinear regression.
Using Nonlinear Regression Analysis -- A. Comparison of Linear and Nonlinear Regression -- B. Some Special Problems with Nonlinear Regression Analysis -- IV.
Motulsky, H. J. & Brown, R. E. Detecting outliers when fitting data with nonlinear regression — a new method based on robust nonlinear regression and the false discovery rate.
Kinetic parameters (Km, kcat, Vmax) were determined by nonlinear regression analysis using GraphPad Prism 6 software.
The results were analyzed by nonlinear regression with GraphPad Prism 6 software.
Baty, F. et al. A toolbox for nonlinear regression in R: the package nlstools.
Fifty per cent of cell growth inhibition (IC50) was determined by nonlinear regression.
Two multiple nonlinear regression models were developed.
The pIC50 values were calculated and fitted with nonlinear regression using 4-parameters with GraphPad Prism (version 5.0 for windows).
Data was plotted in GraphPad Prism 6 to fit a nonlinear regression and determine 50% effective concentration (EC50).
IC50 values were estimated from dose-response curves using SigmaPlot 4-parameter logistic nonlinear regression analysis (SPSS, Inc.).
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