Article

Graph-Regularised Multi-Omics Autoencoders Improve Stability and Clinical Coherence of Breast Cancer Patient Embeddings

2026-08-06

Abstract excerpt

<title>Abstract</title> <p>Unsupervised patient stratification from multi-omics cancer data requires representations that are simultaneously stable across independent training runs, geometrically organised, and clinically informative, yet these properties are rarely evaluated jointly, and standard autoencoder frameworks discard the interaction topology encoded in protein--protein interaction (PPI) networks entire...

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Literature Corpus work: 65cef143-4e6d-55c6-9e0a-415b5f003c95
DOI: 10.21203/rs.3.rs-10256267/v1

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