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Table 1 Differential peak calling on simulated data

From: MMDiff: quantitative testing for shape changes in ChIP-Seq data sets

Profile changes

 
 

TP

FP

FN

TN

eFDR (%)

SN (%)

SP (%)

auROC (%)

DESeq

0 + 0.0

0.7 + 0.8

100 + 0.0

9799.3 + 0.8

NaN

0 + 0.0

100 + 0

50 + 0

DBChIP

0.1 + 0.3

2.4 + 1.7

99.9 + 0.3

9797.6 + 1.7

NaN

0.1 + 0.3

100 + 0

50 + 0

DIME

0 + 0.0

1.4 + 1.0

100 + 0.0

9798.6 + 1.0

NaN

0 + 0

100 + 0

50 + 0

GMD

17.8 + 9.1

5.5 + 2.9

82.2 + 9.1

9794.5 + 2.9

26 + 10

17.8 + 9.1

99.9 + 0

83 + 0

MMDiff

34.6 + 4.1

0.7 + 0.8

65.4 + 4.1

9799.3 + 0.8

2 + 0

34.6 + 4.1

100 + 0

83 + 0

Affinity changes

 
 

TP

FP

FN

TN

eFDR (%)

SN (%)

SP (%)

auROC (%)

DESeq

27.0 + 5.6

0.7 + 0.8

73.0 + 5.6

9799.3 + 0.8

2 + 0

27.0 + 5.6

100 + 0

81 + 0

DBChIP

50.1 + 3.8

2.4 + 1.7

49.9 + 3.8

9797.6 + 1.7

4 + 0

50.1 + 3.8

100 + 0

94 + 0

DIME

45.3 + 4.1

1.4 + 1.0

54.7 + 4.1

9798.6 + 1.0

3 + 0

45.3 + 4.1

100 + 0

95 + 0

GMD

2.1 + 2.1

5.5 + 2.9

97.9 + 2.1

9794.5 + 2.9

73 + 30

2.1 + 2.1

99.9 + 0

60 + 10

MMDiff

2.5 + 1.5

0.7 + 0.8

97.5 + 1.5

9799.3 + 0.8

NaN

2.5 + 1.5

100 + 0

70 + 0

  1. Performance summary of five different methods on ten runs of simulated data sets. In the upper panel unchanged sites and sites with profile changes are considered, in the lower panel unchanged sites and sites with affinity changes. FDR threshold: 0.05; TP: true positives, FP: false positives, FN: false negatives, TN: true negatives, eFDR: empirical FDR (FP/(FP+TP)), SN: sensitivity, SP: specificity, auROC: area under ROC.