HotNet pathway analysis of mutation and copy number data
Kidney Renal Papillary Cell Carcinoma (Primary solid tumor)
16 April 2014
|
analyses__2014_04_16
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/C1T43RQJ
Overview
Introduction
Summary
There were 56 significant subnetworks identified in HotNet analysis.
Results
Significant subnetworks
HotNet identifies 56 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 56 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 |
|---|---|---|---|
| PCDHA6(11),RELN(102),PCDHA4(12) | 3 | 0 | 3 |
| TINF2(37),TERF2(8),ACD(8) | 3 | 0 | 3 |
| AGAP1(9),GUCY1A2(18),GUCY1B3(21) | 3 | 0 | 2 |
| CUX1(101),CYTH2(15),GOLGA5(37) | 3 | 0 | 2 |
| NFIC(17),TKTL2(21),ZCCHC14(9) | 3 | 0 | 2 |
| SPHK1(122),SPHKAP(12),CTNND2(18) | 3 | 0 | 2 |
| SUPT16H(38),MCM3(18),NEK9(39) | 3 | 0 | 2 |
| TUBGCP4(23),TRIM29(18),FBF1(126) | 3 | 0 | 2 |
| WBP2(122),NEDD4(25),YAP1(17) | 3 | 0 | 2 |
| ZNF473(15),ZNF202(19),TRIM41(14) | 3 | 0 | 2 |
Methods & Data
Copyright © 2014
Broad Institute TCGA GDAC as part of the TCGA Research Network.
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