HotNet pathway analysis of mutation and copy number data
Kidney Renal Papillary 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/C1QC01JZ
- Overview
+ Introduction
- Summary

There were 8 significant subnetworks identified in HotNet analysis.

- Results
- Significant subnetworks

HotNet identifies 8 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 8 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
BAIAP2(74),DIAPH1(9),SHANK1(10) 3 0.0145 1
CLTB(1),CLTC(74),CLINT1(1) 3 0.0145 1
PCDHA6(9),RELN(66),PCDHA4(10) 3 0.0145 1
SNX9(14),CLINT1(1),GGA3(75),CLTC(74),CLTB(1),AP1G2(26) 6 0.0100 1
BUB1(4),AP1G2(26),CLINT1(1),GGA3(75),CLTC(74),CLTB(1),SNX9(14) 7 0.0000 1
MPO(74),THBS1(2),PLG(15),KLK3(10),HRG(33),CP(34),MEP1A(12) 7 0.0000 1
AP2M1(34),MCF2L2(34),ATM(13),MEGF10(10),BAHD1(1),TGOLN2(3),TP53BP1(1),USP28(14),C17orf28(74),AARS2(12) 10 0.0020 1
PLCB2(2),SLC9A3(7),SLC9A3R1(74),ARHGEF12(14),RDX(12),SLC34A1(1),SLC22A5(10),NF2(29),P2RY1(34),GNA13(74) 10 0.0325 1
+ Methods & Data