Clustering of RPPA data: consensus hierarchical
Liver Hepatocellular Carcinoma (Primary solid tumor)
14 July 2016  |  awg_lihc__2016_07_14
Maintainer Information
Citation Information
Maintained by Hailei Zhang (Broad Institute)
Cite as Broad Institute TCGA Genome Data Analysis Center (2016): Clustering of RPPA data: consensus hierarchical. Broad Institute of MIT and Harvard. doi:10.7908/C1NS0TD6

Note: The original LIHC RPPA data used on 2016_01_28 was reported to be mislabelled Mesothelioma RPPA data. The affected analyses were patched on 10/13/2016, and contain this notice. For more details see our analysis release notes.

- Overview
+ Introduction
- Summary

Median absolute deviation (MAD) was used to select 219 most variable proteins. Consensus ward linkage hierarchical clustering of 184 samples and 219 proteins identified 5 subtypes with the stability of the clustering increasing for k = 2 to k = 10.

- Results
+ Protein expression patterns of molecular subtypes
+ Silhouette widths, Cophenetic Correlation Coefficients and Consensus matrix
+ Samples assignment with silhouette width
+ Marker proteins of each subtype
+ Methods & Data