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Table 5 Cociter analysis of top 30 lung cancer driver genes identified by our method

From: A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph

Genes

Driver

Lung

Cancer

Is_driver

Ours

Diffusion

Muf_max

Muf_sum

IntDriver

Driver Net

Dawn Rank

TP53

110

999

6772

1

1

36

5

12

5

1

1

TTN

2

1

10

1

2

2274

2

13

2

15

156

KRAS

172

1217

3525

1

3

20

102

15

19

3

2

RYR2

2

4

3

0

4

681

101

16

11

21

493

MUC16

1

31

338

1

5

1587

NA

NA

3

16

507

UBC

2

17

134

0

6

4

100

1

NA

2

NA

EGFR

166

2849

4748

1

7

2

7

22

168

4

4

SPTA1

1

2

3

0

8

140

NA

NA

24

5

13

LRP1B

2

8

17

1

9

5321

NA

18

8

482

1508

DMD

3

17

23

0

10

164

3

31

157

74

9

STK11

8

160

504

1

11

205

NA

34

70

31

14

MUC17

0

0

9

0

12

484

NA

NA

13

161

791

ANK2

0

1

4

0

13

160

NA

NA

80

62

6

PIK3CA

54

183

1199

1

14

3

NA

56

NA

6

109

ACTN2

1

3

7

0

15

27

9

40

NA

77

20

FAT3

1

2

1

0

16

330

NA

NA

48

89

224

COL11A1

1

9

21

1

17

215

NA

30

16

12

18

PCLO

1

0

4

0

18

5326

NA

NA

36

851

2664

PLCG2

1

2

13

0

19

10

NA

137

NA

34

NA

NF1

11

16

165

1

20

40

NA

108

129

19

22

PRKCB

1

11

41

1

21

6

NA

60

NA

17

NA

PCDH15

1

2

4

0

22

227

NA

19

31

11

98

STAT3

27

418

1824

0

23

7

97

45

NA

20

35

CREBBP

2

15

117

0

24

1

38

110

NA

10

112

PLCB1

1

7

9

0

25

24

NA

52

192

24

26

MYH2

1

4

3

0

26

55

NA

49

108

14

27

ATM

5

139

1377

1

27

133

12

144

NA

27

417

MYH8

1

0

0

0

28

291

8

81

NA

1157

804

ZNF536

1

0

4

1

29

1907

NA

NA

25

1039

1458

APOB

2

4

27

0

30

480

NA

25

15

43

21

  1. The first to the fourth column show the co-appeared counts of top 30 identified genes with ‘driver’, ‘lung’ and ‘cancer’ (from the left to the right). Is_driver indicates whether the given gene is a driver or not. The left columns represent the rank positions of identified genes in Subdyquency, Diffusion, Muf_max, Muf_sum, IntDriver, DriverNet and DawnRank respectively