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Table 1 Experimental results for three methods on both 10-gene datasets and 100-gene datasets

From: MICRAT: a novel algorithm for inferring gene regulatory networks using time series gene expression data

Dataset

Accuracy

F_score

MCC

TDBN

NARROMI

MICRAT

TDBN

NARROMI

MICRAT

TDBN

NARROMI

MICRAT

10-gene-1

0.59

0.81

0.88

0.27

0.30

0.40

0.06

0.19

0.42

10-gene-2

0.54

0.76

0.83

0.33

0.29

0.19

0.12

0.15

0.15

10-gene-3

0.57

0.81

0.88

0.24

0.34

0.33

0.00

0.23

0.42

10-gene-4

0.51

0.82

0.88

0.24

0.40

0.25

0.03

0.30

0.28

10-gene-5

0.52

0.88

0.87

0.25

0.40

0.43

0.07

0.34

0.36

100-gene-1

0.52

0.92

0.93

0.05

0.09

0.16

0.04

0.08

0.17

100-gene-2

0.57

0.91

0.93

0.06

0.06

0.12

0.04

0.03

0.10

100-gene-3

0.48

0.91

0.94

0.04

0.10

0.19

0.01

0.09

0.18

100-gene-4

0.57

0.92

0.94

0.03

0.09

0.16

−0.03

0.07

0.15

100-gene-5

0.56

0.91

0.94

0.04

0.09

0.16

0.01

0.08

0.16