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Table 1 Topological analysis of edge clusters for varying β

From: Hybrid coexpression link similarity graph clustering for mining biological modules from multiple gene expression datasets

  

Edge clusters

0.5-sup

0.75-sup

1.0-sup

β

|E S |

|M|

V ¯

E ¯

RE ¯

ρ ¯

sup ¯

|M |(%)

sup ¯

|M |(%)

sup ¯

|M |(%)

0

2273510

421

48.5

77.2

0.74

0.16

6.8

337(80)

1.9

46(11)

0.3

0(0)

0.1

1945908

470

44.3

69.1

0.74

0.16

6.9

382(81)

2

57(12)

0.3

0(0)

0.2

873741

1559

15.8

19

0.58

0.25

9.1

1546(99)

4

578(37)

1.1

11(1)

0.3

226832

1777

10.5

10.4

0.41

0.28

10.3

1777(100)

5.9

1380(78)

2.4

209(12)

0.4

55897

896

8.5

8.2

0.36

0.31

11.5

896(100)

7.8

880(98)

4.1

383(43)

0.5

15779

276

9.5

9.4

0.32

0.3

11.7

276(100)

8.9

275(100)

5.4

162(59)

0.6

3864

147

7.7

7.4

0.33

0.33

12.6

147(100)

10

147(100)

6.9

127(86)

0.7

625

25

6.2

6.8

0.45

0.45

15.1

25(100)

12

25(100)

9.1

24(96)

0.8

625

4

5.2

6.5

0.66

0.66

19

4(100)

14.2

4(100)

10.5

4(100)

0.9

20

1

4

6

1

1

23

1(100)

22

1(100)

20

1(100)

  1. An α value of 0.5 is used and only edge clusters with at least 4 edges are retained.