MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication
Fig 5
MultiCens on human multilayer networks: Prior support and novel predictions.
(A) Shown are all disease gene sets based on OMIM (Online Mendelian Inheritance in Man) that are enriched for top MultiCens centrality scores at FDR 5%, as reported by WebGestalt (see Methods; when predicting somatotropin-responding genes in liver, no disease enrichments pass this FDR cutoff; see also Fig D in S1 Text for the other two primary hormones’ disease enrichments). (B) Literature support for our top 10 predicted genes (ranked only among genes involved in peptide secretion) for the two peptide hormones, along with their co-occurrence scores and similarity in embedding space with hormone-related terms. Genes with a yellow background are present in the ground truth (HGv1 database); from the remaining genes, the green background represents genes supported by scores (co-occurrence score ≥ 1) for either or both hormone-related terms, and white background represents the other genes not supported by scores for both hormone-related terms. See also Table B in S1 Text for gene names corresponding to the gene symbols shown.