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. 2020 Sep 15;16(9):e1008182. doi: 10.1371/journal.pcbi.1008182

Fig 2. Performance results.

Fig 2

A-B: Digits dataset. A: ARI of methods for multi-omic clustering. B: Run time. C-F: Results on ten TCGA cancer datasets. C: Number of cancer subtypes for which each method found a clustering with statistically different survival. D: Number of cancer subtypes for which each method found a clustering with an enrichment of a known clinical label. E: Run time. F: Number of MONET modules that cover each subset of omics.