Multimodal neuroimaging data integration and pathway analysis.

ABSTRACT: With advancements in technology, the collection of multiple types of measurements on a common set of subjects is becoming routine in science. Some notable examples include multimodal neuroimaging studies for the simultaneous investigation of brain structure and function and multi-omics studies for combining genetic and genomic information. Integrative analysis of multimodal data allows scientists to interrogate new mechanistic questions. However, the data collection and generation of integrative hypotheses is outpacing available methodology for joint analysis of multimodal measurements. In this article, we study high-dimensional multimodal data integration in the context of mediation analysis. We aim to understand the roles that different data modalities play as possible mediators in the p

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC7881049 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature