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. Author manuscript; available in PMC: 2019 Nov 11.
Published in final edited form as: Transplantation. 2010 Dec 15;90(11):1172–1179. doi: 10.1097/TP.0b013e3181f9ca6c

Figure 1: Supervised cluster analysis.

Figure 1:

The gene expression dataset was restricted to the 58 significant probe sets. Hierarchical clustering Ward’s method and 1-|ρ| as the distance measure where ρ is Pearson’s correlation was applied. The heatmap and associated dendograms were plotted as a graphical representation of the significant genes (Figure 1A). Unsupervised cluster analysis. the gene expression data were first filtered by retaining only probe sets called present across all arrays and having a standard deviation in the 90th percentile or greater. Hierarchical clustering Ward’s method and 1-|ρ| as the distance measure where ρ is Pearson’s correlation was applied. The heatmap and associated dendograms for the unsupervised clustering appear in Figure 1 B. Light blue boxes: HCV (+) donor kidney samples, Pink boxes: HCV (–) donor samples.