Patient-Specific Data Fusion Defines Prognostic Cancer Subtypes
Figure 4
(a) Prostate cancer data heatmap sorted by PSDF outcome comparing with another integrative clusteringmethod iCluster and the TS subtypes based on copy number data alone.
Features are ranked by their probability of uses in the MCMC sampling from high to low respectively for copy number and expression features, as indicated on the left. Color codes for the heatmap are the same as in Fig.1(b–d) Posterior similarity matrices (red: high posterior; blue: low posterior).