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Fig. 9 | BioData Mining

Fig. 9

From: Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping

Fig. 9

Application to TCGA kidney cancer data for interpretable disease subtype discovery, preprocessed by selecting the top 250 and bottom 250 features based on variance: a survival curves, b cluster-specific feature graphs (displaying only edges with weights in the upper 0.95 quantiles), and c cluster-specific feature importance for the three identified patient subgroups

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BioData Mining

ISSN: 1756-0381