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Figure 12 | BMC Bioinformatics

Figure 12

From: A systematic study of genome context methods: calibration, normalization and combination

Figure 12

ROC curves for the sm-enzyme gold standard set (left) and the known function set (right) of samples for ECK12 for different combination strategies. Solid curves correspond to the confidence-product combiner, and dashed curves correspond to the decision tree combiner. The color of the curve varies according to the scores being combined. Red curves (called comb.orig-scores) correspond to combiners using only gn-pval, pp-mutual-info, gc, and gf. The blue curves (called comb.orig+new-scores) include those four plus gn-lnX, gn-lnX after znorm and pp-mutual-info after znorm. Parameters E = 10-4, Q = 50 and a reference list of size 343 obtained by clustering are used to generate all scores. Two individual scores are also shown for comparison: gn-lnX after znorm and gn-pval. These are the best two individual systems. A combined system can be considered successful if its curve is consistently better than that of the best individual system being combined at every operating point.

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