Glioblastoma Multiforme: Clustering of miR expression: consensus hierarchical
Maintained by Hailei Zhang
(Broad Institute)
Overview
Introduction
Summary
We filtered the data to 150 most variable miRs. Consensus average linkage hierarchical clustering of 491 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.
Results
Silhouette width of each sample in robust cluster
miR expression patterns of molecular subtype
Consensus and correlation matrix
Samples assignment with silhouette width
Marker miRs of each subtype
Methods & Data
Copyright © 2011
Broad Institute TCGA GDAC as part of the TCGA Research Network.
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