Clustering of mRNAseq gene expression: consensus hierarchical
Breast Invasive Carcinoma (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 mRNAseq gene expression: consensus hierarchical. Broad Institute of MIT and Harvard. doi:10.7908/C1MK6C7G
- Overview
+ Introduction
- Summary

Median absolute deviation (MAD) was used to select 1500 most variable genes. Consensus ward linkage hierarchical clustering of 1093 samples and 1500 genes identified 6 subtypes with the stability of the clustering increasing for k = 2 to k = 10.

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