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Ela Gralinska (Ihnestr. 63)
Visualizing transcriptome data sets is a major challenge. In particular, it is hard to visualize how sets of genes are associated to clusters of conditions in high-dimensional data. We introduce Association Plots for visualizing cluster-specific genes in complex data. Association Plots are two-dimensional, independent of the data dimension and show the genes associated to a cluster of conditions. We demonstrate our method on Genotype Tissue Expression (GTEx) RNA-seq data, which contains information on gene expression across 30 human tissues. The resulting Association Plots clearly depict those genes which characterize human tissues.