Figure 4.

Identifying extreme outliers. This shows the first of 5000 simulated data sets with a single outlier (open symbol) whose distance from the ideal curve equations 7 times the standard deviation of the Gaussian scatter of the rest of the points. Our method detected an outlier like this in all but 5 of 5000 simulated data sets, while falsely defining very few good points to be an outlier (False Discovery Rate = 1.18%).

Motulsky and Brown BMC Bioinformatics 2006 7:123   doi:10.1186/1471-2105-7-123
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