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Resolution: standard / high Figure 4.
Comparison of results with probability and M.I. A. ROC curves for classifying motif-term associations at different probability threshold.
Filled circles are the results on the perfect match test set with an area under curve
of 0.8715. Empty triangles are on the relaxed match test set with an area under curve
of 0.871. Data points correspond to thresholds of p(Y = 1|X) from 0.9 to 0.1 (from left to right) with a step of 0.1. B. Precision (positive predictive value) at different probability cutoffs, where solid
bars are the result on the perfect match test set and the open bars for the relaxed
match test set. C. ROC curve for decision rules based on different M.I. cutoff thresholds with an area
under curve of 0.816. D. Precision at different M.I. cutoffs.
Lu et al. BMC Bioinformatics 2004 5:122 doi:10.1186/1471-2105-5-122 |