Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion.

ABSTRACT: Heterogeneity is a hallmark of many complex diseases. There are multiple ways of defining heterogeneity, among which the heterogeneity in genetic regulations, for example, gene expressions (GEs) by copy number variations (CNVs), and methylation, has been suggested but little investigated. Heterogeneity in genetic regulations can be linked with disease severity, progression, and other traits and is biologically important. However, the analysis can be very challenging with the high dimensionality of both sides of regulation as well as sparse and weak signals. In this article, we consider the scenario where subjects form unknown subgroups, and each subgroup has unique genetic regulation relationships. Further, such heterogeneity is "guided" by a known biomarker. We develop a multivariate spar

SUBMITTER: Zhang S 

PROVIDER: S-EPMC8277716 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature