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. 2014 Jun 11;30(12):i310–i318. doi: 10.1093/bioinformatics/btu286

Table 1.

Realistic synthetic data: classification results

Conservation (mean bits/col) Deterministic EM
SEAM
MITSU
sSn sPPV AUC sSn sPPV AUC sSn sPPV AUC
2.00 0.84 0.25 0.99 1.00 1.00 0.70 0.74 0.97
1.49 0.26 0.07 0.98 0.93 0.93 0.90 0.97 1.00
1.08 0.02 0.01 0.96 0.49 0.49 0.68 0.77 0.99
0.76 0.00 0.00 0.94 0.09 0.09 0.17 0.19 0.94
0.51 0.00 0.00 0.93 0.06 0.06 0.07 0.08 0.93

Note: sSn, sPPV and AUC for five collections of realistic synthetic data with varying levels of motif conservation. Best results are printed in bold. In these tests, motif discovery was carried out only at the known motif width.