Article

LaCONIC: A Label-Aware and Graph-Guided Contrastive Multi-Omics Collaborative Learning Model for Cancer Risk Prediction

2025-11-30

Abstract excerpt

Investigating accurate cancer survival prediction models has important clinical value for optimizing therapeutic strategies and improving clinical outcomes. Although an increasing number of models have shifted from relying solely on clinical variables to integrating multi-omics data, there remains insufficient exploitation and integrative utilization of gene regulatory network (GRN) structures and cancer subtype i...

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Literature Corpus work: 964ad64c-7561-5c00-a3bf-a42809742b3e
DOI: 10.1101/2025.11.26.690662

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