Table 4 The complementary usage of different methods can lead to an improved performance in identifying important pairs in sequences

PC-TraFF₂₀∪MC

2.8 %

99.5 %

0.101

PC-TraFF₅₀∪MC

3.6 %

99.3 %

0.112

PC-TraFF₁₀₀∪MC

3.8 %

99.3 %

0.114

PC-TraFF₂₀∪CPM

2.6 %

99.5 %

0.099

PC-TraFF₅₀∪CPM

3.4 %

99.3 %

0.107

PC-TraFF₁₀₀∪CPM

3.5 %

99.3 %

0.109

PC-TraFF₂₀∪CrmM

3.0 %

99.2 %

0.087

PC-TraFF₅₀∪CrmM

3.8 %

99 %

0.10

PC-TraFF₁₀₀∪CrmM

3.9 %

99 %

0.102

MC ∪CPM

1.0 %

99.9 %

0.079

MC ∪CrmM

1.2 %

99.6 %

0.050

CPM ∪CrmM

1.2 %

99.6 %

0.051

PC-TraFF₂₀∪MC ∪CPM

3.1 %

99.5 %

0.11

PC-TraFF₅₀∪MC ∪CPM

3.8 %

99.3 %

0.118

PC-TraFF₁₀₀∪MC ∪CPM

4 %

99.3 %

0.12

PC-TraFF₂₀∪MC ∪CPM ∪CrmM

3.8 %

99.2 %

0.10

PC-TraFF₅₀∪MC ∪CPM ∪CrmM

4.5 %

99 %

0.116

PC-TraFF₁₀₀∪MC ∪CPM ∪CrmM

4.7 %

99 %

0.119

MC ∪CPM ∪CrmM

1.7 %

99.6 %

0.07