MORE: a multi-omics data-driven hypergraph integration network for biomedical data classification and biomarker identification.

ABSTRACT: High-throughput sequencing methods have brought about a huge change in omics-based biomedical study. Integrating various omics data is possibly useful for identifying some correlations across data modalities, thus improving our understanding of the underlying biological mechanisms and complexity. Nevertheless, most existing graph-based feature extraction methods overlook the complementary information and correlations across modalities. Moreover, these methods tend to treat the features of each omics modality equally, which contradicts current biological principles. To solve these challenges, we introduce a novel approach for integrating multi-omics data termed Multi-Omics hypeRgraph integration nEtwork (MORE). MORE initially constructs a comprehensive hyperedge group by extensively investi

SUBMITTER: Wang Y 

PROVIDER: S-EPMC11653202 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature