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Figure 7 | BMC Bioinformatics

Figure 7

From: Detecting outliers when fitting data with nonlinear regression – a new method based on robust nonlinear regression and the false discovery rate

Figure 7

Best-fit value for the rate constants. One thousand simulated data sets (similar to those of Figure 6, with scatter much wider than Gaussian) were fit to a one-phase exponential decay model with our method (left) or least-squares regression (right). Each dot is the best-fit value of the rate constant for one simulated data set. The dots are more tightly clustered around the true value of 0.10 in the left panel, showing that our outlier-removal method gives more accurate results (on average) than least-squares regression.

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BMC Bioinformatics

ISSN: 1471-2105

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