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IGCN: integrative graph convolution networks for patient level insights and biomarker discovery in multi-omics integration

1 Jun 2025

Abstract excerpt

MOTIVATION: Developing computational tools for integrative analysis across multiple types of omics data has been of immense importance in cancer molecular biology and precision medicine research. While recent advancements have yielded integrative prediction solutions for multi-omics data, these methods lack a comprehensive and cohesive understanding of the rationale behind their specific predictions. To shed...

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PMID: 40468582
DOI: 10.1093/bioinformatics/btaf313

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