Skip to main content

Table 2 Comparison of PBN and DBN methods using different sample networks

From: Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks

 

Miss errors Me

False alarm errors Fe

Correct edges Ce

Accuracy (%) (R, P)

Time(s) T

 

min

max

avg

min

max

avg

min

max

avg

recall

precision

avg

PBN(12,18)

2

9

6.4

0

4

2.4

6

9

7.8

54.9

76.5

13.2

PBN(20,35)

12

22

16.8

3

6

4.8

11

15

13.6

44.7

73.9

19.7

PBN(30,60)

33

41

36.0

7

10

8.0

17

20

18.4

33.8

69.6

27.9

PBN(40,80)

48

63

55.4

4

6

5.6

18

22

19.6

26.1

77.8

39.2

DBN(12,18)

3

8

5.8

1

3

2.2

9

11

10.4

64.2

82.5

20.1

DBN(20,35)

13

17

15.2

4

7

5.4

14

18

16.8

52.5

75.7

36.0

DBN(30,60)

30

39

33.6

11

15

12.6

24

30

20.2

37.5

61.6

50.6

DBN(40,80)

46

57

51.2

5

9

7.4

28

34

22.8

30.8

75.5

87.6