Identifying Significant Metabolic Pathways Using Multi-Block Partial Least-Squares Analysis.

ABSTRACT: In metabolomics, identification of metabolic pathways altered by disease, genetics, or environmental perturbations is crucial to uncover the underlying biological mechanisms. A number of pathway analysis methods are currently available, which are generally based on equal-probability, topological-centrality, or model-separability methods. In brief, prior identification of significant metabolites is needed for the first two types of methods, while each pathway is modeled separately in the model-separability-based methods. In these methods, interactions between metabolic pathways are not taken into consideration. The current study aims to develop a novel metabolic pathway identification method based on multi-block partial least squares (MB-PLS) analysis by including all pathways into a global

SUBMITTER: Deng L 

PROVIDER: S-EPMC7895463 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature