Skip to main content

Table 8 Number of driver genes with low or high variation frequency identified by our method and six other existing methods

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

 

Top genes

Ours

Diffusion

DriverNet

Muf_max

Muf_sum

IntDriver

DawnRank

Low Frequency

Breast

50

0

1

0

0

1

0

0

100

0

2

0

0

2

0

0

150

0

2

0

0

2

0

0

200

2

2

1

0

4

0

1

Lung

50

0

0

1

0

0

0

0

100

0

3

1

0

2

0

2

150

1

3

2

2

2

0

4

200

1

4

2

7

2

0

5

Prostate

50

3

4

2

2

2

2

1

100

3

4

4

2

2

3

1

150

3

5

3

6

2

3

1

200

3

7

5

6

2

3

2

High Frequency

Breast

50

25

11

17

13

13

13

16

100

32

26

29

20

21

20

22

150

40

33

39

26

29

26

28

200

43

41

40

27

38

31

34

Lung

50

21

15

15

9

11

8

10

100

32

22

23

12

19

16

19

150

39

26

27

12

27

20

22

200

43

35

29

12

30

29

25

Prostate

50

15

6

9

1

12

10

7

100

20

8

14

1

16

11

9

150

21

10

16

10

19

12

11

200

23

13

17

10

20

14

13

  1. The table shows the number of driver genes identified by our method and other six methods with low variation frequency (mutated less or equal to three samples) or high variation frequency (mutated more than three samples) for each cancer type