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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Interactive visual exploration and refinement of cluster assignments

Fig. 1

Screenshot of Caleydo StratomeX, which forms the basis of the technique introduced in this paper showing data from the TCGA Kidney Renal Clear Cell Carcinoma dataset [4]. Each column represents a dataset, which can either be categorical, like in the second column from the left which shows tumor staging, or based on the clustering of a high-dimensional dataset, like the two columns on the right, showing mRNA-seq and RPPA data, respectively. The blocks in the columns represent groups of records, where matrices are visualized as heat maps, categories with colors, and clinical data as Kaplan-Meier plots. The columns showing Kaplan-Meier plots are “dependent columns”, i.e., they use the same stratification as a neighboring column. The Kaplan-Meier plots show survival times from patients. The first column shows survival data stratified by tumor staging, where, as expected, higher tumor stages correlate with worse outcomes

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