Analysis Overview for Sarcoma

Maintained by TCGA GDAC Team (Broad Institute/MD Anderson Cancer Center/Harvard Medical School)

Overview

Introduction

This is the analysis overview for Firehose run "21 December 2012".

Summary

Note: These results are offered to the community as an additional reference point, enabling a wide range of cancer biologists, clinical investigators, and genome and computational scientists to easily incorporate TCGA into the backdrop of ongoing research. While every effort is made to ensure that Firehose input data and algorithms are of the highest possible quality, these analyses have not been reviewed by domain experts.

Results

Sequence and Copy Number Analyses

Copy number analysis (GISTIC2)
View Report | There were 29 tumor samples used in this analysis: 12 significant arm-level results, 11 significant focal amplifications, and 17 significant focal deletions were found.

Clustering Analyses

Clustering of copy number data: consensus NMF
View Report | The most robust consensus NMF clustering of 29 samples using the 28 copy number focal regions was identified for k = 2 clusters. We computed the clustering for k = 2 to k = 8 and used the cophenetic correlation coefficient to determine the best solution.
Clustering of Methylation: consensus NMF
View Report | The 12571 most variable methylated genes were selected based on variation. The variation cutoff are set for each tumor type empirically by fitting a bimodal distriution. For genes with multiple methylation probes, we chose the most variable one to represent the gene. Consensus NMF clustering of 29 samples and 12571 genes identified 2 subtypes with the stability of the clustering increasing for k = 2 to k = 8 and the average silhouette width calculation for selecting the robust clusters.
Clustering of miRseq expression: consensus NMF
View Report | We filtered the data to 150 most variable miRs. Consensus NMF clustering of 29 samples and 150 miRs identified 2 subtypes with the stability of the clustering increasing for k = 2 to k = 8 and the average silhouette width calculation for selecting the robust clusters.
Clustering of miRseq expression: consensus hierarchical
View Report | We filtered the data to 150 most variable miRs. Consensus average linkage hierarchical clustering of 29 samples and 150 miRs identified 3 subtypes with the stability of the clustering increasing for k = 2 to k = 8 and the average silhouette width calculation for selecting the robust clusters.

Methods & Data

Input

Run Prefix = analyses__2012_12_21
Summary Report Date = Fri Jan 25 12:08:38 2013
Protection = FALSE

Made with Nozzle