Identification of atherosclerosis-related prioritizing metabolites based on a multi-omics composite network.

ABSTRACT: Metabolites are the final products of cellular regulation processes, their level is the ultimate response of biological systems to environmental and genetic changes. Therefore, the identification of key metabolites is required for the diagnosis and therapy of diseases. In this study, atherosclerosis-related gene expression profile information was extracted from ArrayExpress database (GEOD-57691), and analyzed with limma package. Furthermore, we constructed an intricate multi-omics network involved in genes, phenotypes, metabolites and their associations. To identify the prioritization of atherosclerosis-related metabolites, the relation score of each metabolite in the composite network was computed with the random walk with restart (RWR) method. The top 50 metabolites and top 100 genes wer

SUBMITTER: Cao JQ 

PROVIDER: S-EPMC6447794 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature