HotNet pathway analysis of mutation and copy number data
Kidney Renal Clear Cell Carcinoma (Primary solid tumor)
15 January 2014  |  analyses__2014_01_15
Maintainer Information
Citation Information
Maintained by Hailei Zhang (Broad Institute)
Cite as Broad Institute TCGA Genome Data Analysis Center (2014): HotNet pathway analysis of mutation and copy number data. Broad Institute of MIT and Harvard. doi:10.7908/C1DZ06RS
- Overview
+ Introduction
- Summary

There were 44 significant subnetworks identified in HotNet analysis.

- Results
- Significant subnetworks

HotNet identifies 44 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 44 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
ACVR2B(382),SYNJ2BP(1),SYNJ2(118) 3 0.016 3
ARHGEF11(56),PLXNA1(2),PLXNB1(381) 3 0.016 3
CACYBP(56),S100A12(55),SIAH2(2) 3 0.016 3
DAAM1(2),VANGL2(54),DVL1(71) 3 0.016 3
DICER1(2),DCP1A(381),EIF2C2(69) 3 0.016 3
IVL(55),EVPL(34),SPRR2A(55) 3 0.016 3
RFX6(116),KCNRG(63),CCNK(2) 3 0.016 3
ROBO1(272),ROBO2(271),SLIT3(277) 3 0.016 3
AKAP7(116),PRKAR1A(33),AKAP11(63) 3 0.016 2
CNTN2(55),CNTNAP2(145),L1CAM(30) 3 0.016 2
+ Methods & Data