Figure 2
From: Content-based microarray search using differential expression profiles
Disease compendium. Our collection of 32 disease-related experiments represents several combinations of species, platforms, and tissues. Differential expression profiles based on log fold-change were generated for each experiment, then mapped to human genes through Homologene. We compared DE profiles using Pearson correlation and applied hierarchical clustering to find that the profiles cluster primarily by disease and tissue. One GEO Series appears more than once: GSE3790 provides three profiles that cluster together, comparing normal to diseased tissue in cerebellum, frontal cortex, and caudate nucleus.