Clustering of miRseq precursor expression: consensus hierarchical
Ovarian Serous Cystadenocarcinoma (Primary solid tumor)
17 October 2014
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analyses__2014_10_17
Maintainer Information
Citation Information
Maintained by Hailei Zhang
(Broad Institute)
Cite as
Broad Institute TCGA Genome Data Analysis Center
(2014):
Clustering of miRseq precursor expression: consensus hierarchical.
Broad Institute of MIT and Harvard.
doi:10.7908/C1XP73VF
Overview
Introduction
Summary
Median absolute deviation (MAD) was used to select 103 most variable miRs. Consensus ward linkage hierarchical clustering of 453 samples and 103 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
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Broad Institute TCGA GDAC as part of the TCGA Research Network.
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