Table 1 Performance assessment of predict models for different features.

From: Computational identification of putative lincRNAs in mouse embryonic stem cell

Feature

Accuracy

Error rate

Sensitivity

Specificity

Precision

AUC

k-mer

0.79

0.21

0.56

0.90

0.75

0.76

histone

0.83

0.17

0.62

0.93

0.83

0.84

CAGE

0.74

0.26

0.24

0.98

0.87

0.78

Motif

0.86

0.14

0.67

0.95

0.88

0.82

CGI + CpG o/e

0.80

0.20

0.47

0.96

0.85

0.75

Repeat element

0.70

0.30

0.40

0.85

0.57

0.63

All

0.89

0.11

0.80

0.92

0.85

0.90

Back to article page