Figure 2
From: Genomic characterization of explant tumorgraft models derived from fresh patient tumor tissue
Unsupervised cluster analysis of genomes of tumorgrafts and originating patient tumors. Unsupervised clustering was performed on genomes amplified by A) Affymetrix method, 28 genomes total; and B) NuGEN method, 20 genomes total. Clustering was performed using programming language R version 2.11.1 on normalized gene expression data that was pre-processed using the Affymetrix MAS5 algorithm to an average intensity target of 500. Other than a few highlighted outliers discussed in the text, patient tumors and their derived tumorgrafts are closely related at the gene expression level.