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A Network-of-Networks Framework for Multi-Omics Data Integration and Analysis via Graph Neural Networks

2026-05-18

Abstract excerpt

The integration of heterogeneous multi-omics data — spanning genomics, transcriptomics,proteomics, epigenomics, and metabolomics — remains one of the central open challenges incomputational biology. Existing approaches either flatten omics layers into feature matrices,losing relational structure, or adopt multilayer network formalisms that treat layers asindependent graphs coupled only by alignment edges. In this...

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Literature Corpus work
399ba745-e871-5d6c-8225-ac85f0bf15d5
DOI
10.20944/preprints202605.1163.v1
Open publication

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A Network-of-Networks Framework for Multi-Omics Data Integration and Analysis via Graph Neural NetworksDOI 10.20944/preprints202605.1163.v1
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