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Table 1 Overall performance of different methods. Area under the ROC-curve (AUC) with different noise-disturbed data sets.

From: MATLIGN: a motif clustering, comparison and matching tool

Program Noise 0% Noise 25% Noise 50% Noise 75% Average
Matlign 1.00 1.00 1.00 0.99 1.00
CompareAce/Pearson 1.00 1.00 1.00 0.98 0.99
YSRA 1.00 1.00 1.00 0.88 0.97
MatCompare 1.00 1.00 0.97 0.76 0.93
TREG 0.99 0.99 0.90 0.60 0.87