Skip to main content

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).