Table 1 Prediction performance
From: Compo: composite motif discovery using discrete models
Noise | Compo | CMA | ModuleSearcher | Stubb | MSCAN | MCAST | Cister | Cluster-Buster |
|---|---|---|---|---|---|---|---|---|
No | 0.52 | 0.34 | 0.33 | 0.17 | 0.29 | 0.39 | 0.23 | 0.28 |
50% | 0.49 | 0.33 | 0.32 | 0.17 | 0.24 | 0.30 | 0.21 | 0.27 |
75% | 0.46 | 0.31 | 0.32 | 0.15 | 0.07 | 0.22 | 0.16 | 0.20 |
90% | 0.41 | 0.29 | 0.30 | 0.13 | 0.07 | 0.14 | 0.07 | 0.13 |
95% | 0.37 | 0.27 | 0.31 | 0.09 | 0.04 | 0.09 | 0.03 | 0.08 |
99% | 0.35 | 0.23 | 0.20 | 0.01 | 0.02 | 0.00 | 0.01 | 0.05 |