Benchmarking network propagation methods for disease gene identification
Fig 7
Disease performance in terms of input size and modularity.
Disease performance ranked by the number of known target genes and their modularity (obtained using the igraph package, see Figure F in S1 Appendix). Modularity is a measure of the tendency of known target genes to form modules or clusters in the network. Diseases have been ranked using their explanatory model coefficient from the top 20 hits metric with known drug targets as input (x axis) and their modularity (y axis). As discussed in the text, best predicted diseases tend to have longer gene lists and be highly modular.