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Table 3 The average size of top 50 highly discriminative subnetwork markers from GSE2034 and NKI295

From: Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network

Gene expression dataset = GSE2034

 
  

Chuang

HPRD

GASOLINE

BioGRID

Greedy

 

3.1

3.26

3.54

3.66

AP-based

 

36.28

35.78

34.18

38.78

jac_p

 

18.06

19.94

19.58

29

kul_p

 

21.16

25.32

22.48

36.28

tve_p

 

34.48

45.26

45.98

61.8

jac_lc

β=0.25

18.3

21.36

23.14

34

 

β=0.5

15.08

15.38

16.44

24.24

 

β=0.75

13.28

16.34

13.44

19.18

kul_lc

β=0.25

24

30.14

28.68

39.02

 

β=0.5

18.98

22.86

24.18

38.32

 

β=0.75

16.06

19.12

20.84

30.98

tve_lc

β=0.25

34.1

46.58

43.44

53.54

 

β=0.5

28.98

43.8

45.5

71.24

 

β=0.75

22.92

44.78

46.32

82.66

Gene expression dataset = NKI295

 
  

Chuang

HPRD

GASOLINE

Biogrid

Greedy

 

4.12

3.68

4.46

4.42

AP-based

 

31.34

30.32

28.78

34.66

jac_p

 

14.62

16

18.94

27.72

kul_p

 

12.3

22.5

26.9

33.34

tve_p

 

28.22

42.24

49.9

57.1

jac_lc

β=0.25

15.14

16.8

19.66

30.06

 

β=0.5

13.38

12.44

13.68

22.66

 

β=0.75

11.54

12.88

10.78

17.98

kul_lc

β=0.25

14.8

24.6

27.06

39.26

 

β=0.5

15.9

18.5

23.28

33.96

 

β=0.75

13.7

17.12

17.22

27.14

tve_lc

β=0.25

30.76

41.78

48.66

52.44

 

β=0.5

27.26

41.62

50.7

72.88

 

β=0.75

18.52

43.22

48.24

81.42