Article
Bayesian Multi-View Graph Convolutional Network (BMGCN) for Integrative Multi-Omics Analysis with Survival Outcomes and Zero-Inflated Data
2025-10-27
Abstract excerpt
Modern biomedical research generates vast, multi-modal datasets (multi-omics) from the same patient cohorts, offering an unprecedented opportunity to understand complex diseases. However, integrating these heterogeneous data views to predict clinical outcomes like patient survival presents significant statistical challenges. These challenges include data heterogeneity, high dimensionality, inherent zero-inflation...
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Identifiers and source
- Literature Corpus work
- 6731463d-77a7-50df-b2b4-316aabb9628d
- DOI
- 10.20944/preprints202510.1979.v1
