Skip to main content

Table 3 Comparative performance analysis of the enhancer predictions in K562

From: eRFSVM: a hybrid classifier to predict enhancers-integrating random forests with support vector machines

Classifiers

Precision

Recall

F-score

Number of predicted enhancer bases (Portion in whole genome)

RFSVM-ENCOE

83.69 %

4.92 %

9.29 %

120,670,200(3.89 %)

CSI_ANN

67.36 %

9.05 %

15.96 %

34,635,309(1.12 %)

RFECS

69.56 %

10.16 %

17.74 %

130,723,329(4.22 %)

DEEP-ENCODE

83.56 %

3.45 %

6.62 %

28,238,758(0.91 %)