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 |