Figure 4
(A) Performance on all gene models (\({R}^{2}>0.1\)) inferred by KiMONo followed by number of gene models and number of features selected in the proteomics, mutation, epigenetic and clinical data layer. (B) Subnetwork of top 20 features (highest betweenness of centrality) within the inferred breast invasive carcinoma network (\({R}^{2}=0.4\)). Within the network, we found nodes originating from mRNA (green), mutation (orange) and clinical (blue) feature space. The edges denote first order edges (grey), first and second-order (black). (C) Subnetwork of the top 20 features in Glioblastoma Multiforme (\({R}^{2}=0.4\)).
