Table 3 The average performance of each method on 134 ChIP-seq datasets.

From: WSMD: weakly-supervised motif discovery in transcription factor ChIP-seq data

Average AUC (%)

DREME

HOMER

XXmotif

motifRG

DECOD

WSMD

Training datasets

77.43

79.11

77.13

62.91

77.16

82.80

Test datasets

77.01

78.74

76.85

62.83

76.98

81.86

Average Fisher’s score (log10)

DREME

HOMER

XXmotif

motifRG

DECOD

WSMD

Training datasets

−37.42

−54.75

−57.81

−26.61

−59.77

−96.83

Test datasets

−18.50

−27.42

−27.77

−13.06

−29.37

−44.91

Average MHG score (log10)

DREME

HOMER

XXmotif

motifRG

DECOD

WSMD

Training datasets

−185.95

−187.62

−173.93

−112.67

−167.23

−219.87

Test datasets

−91.34

−92.82

−86.58

−55.83

−84.16

−108.08

  1. For each tool, its average performance on both training and test datasets are presented.