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Table 2 Cociter mining analysis of top 30 BRCA candidate driver genes identified by DriverRWH (STRINGv10)

From: DriverRWH: discovering cancer driver genes by random walk on a gene mutation hypergraph

Genes

Co-appeared count

Is_Specificity

Rank position

Breast

Cancer

Driver

MutsigCV

Dawnrank

Gravity

OncodriveFML

Subdyquency

MinNetRank

TP53

1177

5942

55

1

1

1

884

5

2

24

PIK3CA

170

576

13

1

2

4

3949

9885

1

200

CDH1

291

1143

13

1

3

2

448

6

4

52

GATA3

84

114

4

1

4

11

179

1

NA

8652

TTN

2

8

1

0

NA

3148

197

16,438

3

6097

PTEN

595

2597

35

1

6

3

300

7

10

42

MAP3K1

59

129

2

1

5

122

208

4

5

528

KMT2C

3

21

4

1

NA

NA

2121

3

NA

4076

DNAH8

0

1

1

0

115

7

NA

1942

78

122

AKT1

477

1863

13

1

NA

6

1226

2233

NA

31

OBSCN

1

4

0

0

NA

1724

642

15,684

14

1760

DMD

1

19

3

0

16

17

1457

5795

11

827

NF1

19

137

8

1

13

998

1641

25

34

926

UBC

176

653

4

0

197

29

NA

2704

38

16

PRDM10

1

1

2

0

916

21

4104

49

560

27

ERBB2

3631

4422

36

1

126

5

1465

35

33

51

MYH9

10

32

4

0

30

358

1540

4141

NA

476

NCOR1

16

58

2

1

9

2903

76

22

7

3160

FOXA1

82

128

5

1

26

26

33

21

NA

8660

ANK3

3

4

2

0

NA

3251

2415

4803

54

2288

LRRK2

4

18

1

0

218

39

7388

3480

278

270

MTOR

321

1896

21

0

NA

22

664

1419

47

115

EGFR

722

4091

94

0

NA

10

2909

14,413

1195

35

RYR2

2

3

2

0

NA

1689

2525

12,929

9

2197

PRKDC

57

274

4

0

77

12

127

9326

51

312

ANK2

0

4

0

0

NA

405

3532

971

44

4349

ASH1L

0

2

1

0

109

5672

957

6540

85

2723

KDM6A

5

24

3

0

64

5042

2140

78

NA

2380

SYNE1

0

2

1

0

NA

1801

1233

12,287

NA

8654

RUNX1

14

110

6

1

7

2058

748

17

28

3175