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Identifying new cancer genes based on the integration of annotated gene sets via hypergraph neural networks

12 Apr 2024

Abstract excerpt

MOTIVATION: Identifying cancer genes remains a significant challenge in cancer genomics research. Annotated gene sets encode functional associations among multiple genes, and cancer genes have been shown to cluster in hallmark signaling pathways and biological processes. The knowledge of annotated gene sets is critical for discovering cancer genes but remains to be fully exploited. RESULTS: Here, we present the...

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PMID: 38940121
DOI: 10.1093/bioinformatics/btae257

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