Article

Deep Learning Architectures for Multi-Omics Data Integration: Bridging Biomarker Discovery and Clinical Translation

2026-01-26

Abstract excerpt

The integration of heterogeneous molecular data across multiple omics layers is essential for understanding complex disease biology, yet conventional analytical approaches struggle with the high dimensionality, non-linearity, missingness, and technical variability of multi-omics datasets. This review aims to critically evaluate how deep learning (DL) methodologies address these challenges and to assess their trans...

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Literature Corpus work: 19ad460e-2ec2-573c-99df-db919e69031b
DOI: 10.20944/preprints202601.1884.v1

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