Interactive network-based clustering and investigation of multimorbidity association matrices with association Subgraphs.

Strayer N, Zhang S, Yao L, Vessels T, Bejan CA, Hsi RS, Shirey-Rice JK, Balko JM, Johnson DB, Phillips EJ, Bick A, Edwards TL, Velez Edwards DR, Pulley JM, Wells QS, Savona MR, Cox NJ, Roden DM, Ruderfer DM, Xu Y. Interactive network-based clustering and investigation of multimorbidity association matrices with association Subgraphs. Bioinformatics (Oxford, England). 2023 Jan 1;39(39). PMID: 36472455 [PubMed] PMCID: PMC9825768

Abstract

Making sense of networked multivariate association patterns is vitally important to many areas of high-dimensional analysis. Unfortunately, as the data-space dimensions grow, the number of association pairs increases in O(n2); this means that traditional visualizations such as heatmaps quickly become too complicated to parse effectively.