Figure 3

Heatmaps confirming the clustering ability of the 33-gene signature in a prostate cancer exon-array dataset (Taylor et al. ) and the TCGA RNA-seq dataset for prostate cancer (TCGA-PRAD). The 33-gene signature was applied to two independent datasets, A. a prostate cancer exon-array dataset (Taylor et al.), and B. TCGA RNA-seq dataset for prostate cancer (TCGA-PRAD). Expression values were log2 transformed, normalized for high level mean and variance and hierarchically clustered using Euclidian distance. Genes are rows and samples are columns. The colour coded bars indicate expression values and the clinical grouping for each sample as defined in the keys.