Table 1 Comparison of enrichment analysis of different algorithms in cancer data sets

From: Causal network inference based on cross-validation predictability

METHOD

CVP

CoMDP

Dendrix

e-Driver

ExInAtor

MDPFinder

MEMo

OncoDriveCLUST

SCS

CGC

GBM

1.52 × 10-8

1

3.92 × 10-3

1.90 × 10-4

4.26 × 10-4

1.38 × 10-5

8.64 × 10-6

2.38 × 10-3

1

CESC

5.16 × 10-7

1

7.19 × 10-2

7.64 × 10-3

8.22 × 10-4

4.06 × 10-2

1

8.64 × 10-6

3.01 × 10-1

PRAD

9.18 × 10-8

1

4.06 × 10-2

4.78 × 10-4

9.14 × 10-6

2.04 × 10-2

1

1.38 × 10-5

9.56 × 10-2

LUSC

2.37 × 10-9

5.08 × 10-1

3.66 × 10-2

3.66 × 10-2

2.13 × 10-8

3.66 × 10-2

1

1

3.01 × 10-1

OV

5.16 × 10-7

4.95 × 10-2

1.31 × 10-2

3.66 × 10-2

5.42 × 10-2

1.33 × 10-5

1

1

1

SARC

2.42 × 10-4

4.29 × 10-1

1.06 × 10-1

3.37 × 10-1

1.73 × 10-2

2.00 × 10-1

1

3.50 × 10-2

6.74 × 10-1

KIRP

9.14 × 10-4

1

1

1.52

5.13 × 10-3

9.10 × 10-2

1

1

6.74 × 10-1

LIHC

2.42 × 10-4

1

1.34 × 10-3

2.58 × 10-1

9.95 × 10-11

1.82 × 10-2

1

1.03 × 10-1

1

InToGen

GBM

4.63 × 10-10

1

2.43 × 10-3

9.26 × 10-5

1.10 × 10-5

1.43 × 10-7

3.31 × 10-6

4.32 × 10-5

1

CESC

1.65 × 10-7

1

5.67 × 10-2

4.77 × 10-3

2.23 × 10-7

2.60 × 10-2

1

3.31 × 10-6

1.02 × 10-2

PRAD

3.52 × 10-9

1

2.60 × 10-2

2.25 × 10-7

9.95 × 10-9

9.08 × 10-3

1

9.34 × 10-4

2.13 × 10-1

LUSC

1.00 × 10-17

4.26 × 10-1

2.88 × 10-2

2.88 × 10-2

4.12 × 10-7

2.88 × 10-2

1

1

5.41 × 10-2

OV

4.63 × 10-10

3.19 × 10-2

6.79 × 10-3

2.88 × 10-2

5.16 × 10-2

9.52 × 10-5

1

1

1

SARC

5.68 × 10-4

3.55 × 10-1

8.38 × 10-2

3.28 × 10-3

1.92 × 10-4

1.61 × 10-1

1

2.27 × 10-3

1

KIRP

2.94 × 10-5

1

1

1.61 × 10-4

3.28 × 10-3

5.38 × 10-4

1

1.57 × 10-2

2.13 × 10-1

LIHC

1.39 × 10-4

1

8.25 × 10-4

1.19 × 10-3

8.71 × 10-16

4.43 × 10-4

1

7.17 × 10-4

2.13 × 10-1

  1. The results of enrichment analysis for the predicted driver genes from different algorithms of driver gene inference. Bold values means the best performance.