A Single Visualization Technique for Displaying Multiple Metabolite-Phenotype Associations.

ABSTRACT: To assist with management and interpretation of human metabolomics data, which are rapidly increasing in quantity and complexity, we need better visualization tools. Using a dataset of several hundred metabolite measures profiled in a cohort of ~1500 individuals sampled from a population-based community study, we performed association analyses with eight demographic and clinical traits and outcomes. We compared frequently used existing graphical approaches with a novel 'rain plot' approach to display the results of these analyses. The 'rain plot' combines features of a raindrop plot and a conventional heatmap to convey results of multiple association analyses. A rain plot can simultaneously indicate effect size, directionality, and statistical significance of associations between metabolit

SUBMITTER: Henglin M 

PROVIDER: S-EPMC6680673 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature