HotNet pathway analysis of mutation and copy number data
Cervical Squamous 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/C1W95758
Overview
Introduction
Summary
There were 3 significant subnetworks identified in HotNet analysis.
Results
Significant subnetworks
HotNet identifies 3 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 3 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 |
|---|---|---|---|
| CADPS2(9),DHX16(13),MEGF10(18),AARS2(3),TAOK2(1) | 5 | 0.001 | 1 |
| FDXR(8),SOX2(32),POU5F1(14),FOXD3(4),POU2F1(23) | 5 | 0.001 | 1 |
| NUP153(13),IFI16(23),TP53BP1(8),TPR(24),SENP2(33) | 5 | 0.001 | 1 |
Methods & Data
Copyright © 2013
Broad Institute TCGA GDAC as part of the TCGA Research Network.
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