Clustering of miRseq precursor expression: consensus hierarchical
Uveal Melanoma (Primary solid tumor)
28 January 2016
|
analyses__2016_01_28
Maintainer Information
Citation Information
Maintained by Hailei Zhang
(Broad Institute)
Cite as
Broad Institute TCGA Genome Data Analysis Center
(2016):
Clustering of miRseq precursor expression: consensus hierarchical.
Broad Institute of MIT and Harvard.
doi:10.7908/C17080XC
Overview
Introduction
Summary
Median absolute deviation (MAD) was used to select 134 most variable miRs. Consensus ward linkage hierarchical clustering of 80 samples and 134 miRs identified 4 subtypes with the stability of the clustering increasing for k = 2 to k = 10.
Results
miR expression patterns of molecular subtypes
Silhouette widths, Cophenetic Correlation Coefficients and Consensus matrix
Samples assignment with silhouette width
Marker miRs of each subtype
Methods & Data
Copyright © 2016
Broad Institute TCGA GDAC as part of the TCGA Research Network.
All rights reserved.