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. 2011 Jul 12;27(17):2361–2367. doi: 10.1093/bioinformatics/btr412

Table 1.

Comparison of discriminative motif finding methods on the yeast dataset

TF DECOD DME DEME CMF Seeder ALSE Width Enrichment
ABF1 + + + + + 13 99
CBF1 + + + + + 7 99
FHL1 + + + + + 10 99
RAP1 + + + + 10 79.92
REB1 + + + + + 7 77.93
UME6 + + + + + 8 72.32
RPN4 9 72.02
GCN4 + + + + + 7 64.62
YAP7 8 62.65
MCM1 + + 11 55.28
NRG1 + 7 45.42
MBP1 + + + + + 7 40
SKN7 + 9 38.79
CIN5 + + + 8 38.36
SUM1 + + + + 10 36.47
SWI6 + + + + + 7 33.62
HSF1 + 13 32.96
SWI4 + + + + + 7 31.96
TYE7 + + + + + + 8 30.56
SFP1 9 26.64
FKH2 + + + + 7 26.62
Total (Top) 15 13 15 14 11 3
Total (All) 28 31 34 24 17 9

+: Correctly recover the known motif.

Total (Top): the total number of the top 21 motifs with enrichment score ≥25 correctly recovered by each method.

Total (All): the total number of all motifs correctly recovered by each method (see Results in Supplementary Materials for details).