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Table 4 The results of the six types of CMS for cancer networks and STNs

From: Transcription factor and microRNA-regulated network motifs for cancer and signal transduction networks

 

FBL-FBL

FFL-FFL

bi-fan-bi-fan

FBL-FFL

FBL-bi-fan

FFL-bi-fan

size

max deg

BRC

DC

Cancer networks

AML

0

0

17

0

0

0

22

7

0.310

0.116

Glioma

0

0

36

0

0

0

8

4

0.0443

0.393

Melanoma

0

0

0

0

0

0

4

2

0.0678

0.400

NSCLC

0

1

6

0

4

2

18

6

0.0309

0.150

PC

0

0

0

0

0

0

18

11

0.0137

0.111

RCC

0

0

0

0

0

0

6

5

0.0075

0.333

Median, α

      

13

5.5

0.0376

0.242

Signal transduction networks (STNs)

Erbb

0

10

1607

0

0

111

31

13

0.0106

0.123

FoxO

0

2

0

0

0

0

34

31

0.00074

0.064

Hippo

0

10

0

0

0

0

12

6

0.0765

0.167

Jak-Stat

0

0

3

0

0

0

16

6

0.0461

0.158

Mapk

0

0

6

0

0

0

72

13

0.0154

0.039

PI3k-Akt

0

0

0

0

0

0

39

15

0.00878

0.058

Rap1

0

0

0

0

0

0

26

15

0.0161

0.080

Ras

0

1

105

0

0

7

39

14

0.0107

0.082

TGF_Beta

0

0

0

0

0

0

5

3

0.0678

0.250

TNF

0

0

0

0

0

0

12

5

0.0379

0.167

TCS

0

0

3

0

0

0

11

8

0.0333

0.182

VEGF

0

1

0

0

0

0

19

8

0.0146

0.123

Wnt

0

24

0

0

0

0

24

9

0.0106

0.123

Median, β

32.5

13.5

0.00158

0.081

γ

2.50

2.46

0.419

0.335