Skip to main content

Advertisement

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

Back to article page