PathIntegrate: Multivariate modelling approaches for pathway-based multi-omics data integration.

ABSTRACT: As terabytes of multi-omics data are being generated, there is an ever-increasing need for methods facilitating the integration and interpretation of such data. Current multi-omics integration methods typically output lists, clusters, or subnetworks of molecules related to an outcome. Even with expert domain knowledge, discerning the biological processes involved is a time-consuming activity. Here we propose PathIntegrate, a method for integrating multi-omics datasets based on pathways, designed to exploit knowledge of biological systems and thus provide interpretable models for such studies. PathIntegrate employs single-sample pathway analysis to transform multi-omics datasets from the molecular to the pathway-level, and applies a predictive single-view or multi-view model to integrate th

SUBMITTER: Wieder C 

PROVIDER: S-EPMC10994553 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature