HotNet pathway analysis of mutation and copy number data
Kidney Renal Clear Cell Carcinoma (Primary solid tumor)
23 May 2013  |  analyses__2013_05_23
Maintainer Information
Citation Information
Maintained by Hailei Zhang (Broad Institute)
Cite as Broad Institute TCGA Genome Data Analysis Center (2013): HotNet pathway analysis of mutation and copy number data. Broad Institute of MIT and Harvard. doi:10.7908/C17H1GMN
- Overview
+ Introduction
- Summary

There were 29 significant subnetworks identified in HotNet analysis.

- Results
- Significant subnetworks

HotNet identifies 29 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 29 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
ARHGEF11(33),PLXNA1(68),PLXNB1(269) 3 0.003 2
CACYBP(32),S100A12(32),SIAH2(68) 3 0.003 2
CDK8(42),NOTCH2(35),MAML1(202) 3 0.003 2
DISC1(16),LMNA(32),SYNE1(86) 3 0.003 2
HEATR1(18),XRN1(71),SMARCD2(21) 3 0.003 2
MED23(76),MED13(26),WDTC1(51) 3 0.003 2
PLXNA2(34),UBAP2L(32),IFT80(70) 3 0.003 2
S100A10(32),TRPV6(92),CALB1(41) 3 0.003 2
CPNE3(41),QARS(269),MAP3K5(76) 3 0.003 1
SPEN(60),MSX2(203),GTF2F2(41) 3 0.003 1
+ Methods & Data