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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
  1. Prediction performance on the TransCompel benchmark data sets. The given scores are for the custom matrices version of the benchmark, with different levels of randomly selected matrices (noise) added to the data set. Score values equal to or better than Compo are shown in bold.