HotNet pathway analysis of mutation and copy number data
Kidney Renal Papillary Cell Carcinoma (Primary solid tumor)
21 April 2013  |  analyses__2013_04_21
Maintainer Information
Citation Information
Maintained by Hailei Zhang (Broad Institute)
Cite as Broad Institute TCGA Genome Data Analysis Center (2013): Kidney Renal Papillary Cell Carcinoma (Primary solid tumor cohort) - 21 April 2013: HotNet pathway analysis of mutation and copy number data. Broad Institute of MIT and Harvard. doi:10.7908/C1KD1VVD
- Overview
+ Introduction
- Summary

There were 17 significant subnetworks identified in HotNet analysis.

- Results
- Significant subnetworks

HotNet identifies 17 altered subnetworks based on the matched somatic mutation and copy number alterations data. Table 1 showes the top 10 significant subnetworks.

Table 1.  Get Full Table Top 10 out of 17 subnetworks in ranked by p value. The last column of RepeatTimes shows how many times the subnetwork was picked up in differenct delta values.

Network No.ofgenes p-value RepeatTimes
AP2M1(34),MCF2L2(34),MEGF10(1) 3 0.0000 1
EGLN2(1),HDLBP(9),TBX4(74) 3 0.0000 1
LCP2(16),SH2B2(65),CSF1R(1) 3 0.0000 1
PPP1R15A(11),RELB(1),SMARCB1(5) 3 0.0000 1
RAB11A(1),PPP2R1A(11),EEF2(2) 3 0.0000 1
SYT3(11),SYT5(11),NRXN1(1) 3 0.0000 1
U2AF2(11),TCERG1(3),SF3A1(4) 3 0.0000 1
XPO1(1),BIRC5(74),NSUN2(4) 3 0.0000 1
FDXR(74),HMGB2(2),SLC22A2(1),POU2AF1(24) 4 0.0345 1
PCDH18(1),PCDHA6(1),RELN(66),PCDHA4(1) 4 0.0345 1
+ Methods & Data