Fig. 4

HFhetnet characterization. A Schematic overview of HFhetnet and its different layers built by including seven independent data sources. B Characterization of network layers by size (number of nodes and edges), edge density (percentage of possible edges), degree centrality, global transitivity (average probability of the neighbors of a node being connected), degree assortativity (preference of nodes to connect with nodes of similar degree), and literature bias (i.e., gene degree/PubMed score correlation). C Leave one out cross-validation results for all diseases with two or more DisGeNET links. We compared the performance of gene set recovery with different versions of the HFhetnet by modifying only the disease network. We compared HFnet + HPOnet (i.e., the original HFhetnet), only the HFnet (without HPOnet), and a rewired HFnet. Outliers are not plotted for visualization purposes. Paired, two-sided Wilcoxon test, *p < 0.001. AUC-PR area under the precision/recall curve, AUROC area under the receiver operator curve. GO Gene Ontology, HPO human phenotype ontology