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Table 1 Pathway enrichments

From: Detecting recurrent gene mutation in interaction network context using multi-scale graph diffusion

KEGG pathways

Pik3-cluster

Runx-cluster

 

Rank

p-value

Rank

p-value

Cell cycle

60

0.11

1

1.7E-10

Prostate cancer

4

1.4E-07

2

1.3E-08

Chronic myeloid leukemia

2

4.1E-10

3

3.6E-08

Pathways in cancer

8

3.4E-07

4

9.2E-08

HTLV-I infection

28

0.001

5

5.2E-07

Small cell lung cancer

20

4.6E-05

6

8.9E-07

Colorectal cancer

14

2.1E-06

7

8.3E-06

Glioma

3

3.1E-08

8

5.2E-05

p53 signaling pathway

73

0.27

9

5.3E-05

Transcriptional misregulation in cancer

77

0.36

10

5.3E-05

T cell receptor signaling pathway

1

1.1E-11

35

0.47

B cell receptor signaling pathway

5

1.5E-07

34

0.44

Non-small cell lung cancer

6

1.6E-07

13

0.0002

Fc epsilon RI signaling pathway

7

3.2E-07

65

0.95

ErbB signaling pathway

9

7.9E-07

21

0.05

Pancreatic cancer

10

8.7E-07

14

0.0003

  1. The top ranked pathways of KEGG enrichment analysis for the Runx- and Pik3-cluster determined at the small- and large-scale, respectively (Figure 3A, B).