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