M-GNN: A Topology-Enhanced Multi-Modal Graph Neural Network for Cancer Driver Gene Prediction
<b>Background:</b> Accurate identification of cancer driver genes is essential for understanding tumorigenesis and developing targeted therapies. Although graph neural networks (GNNs) have advanced multi-omics integration, existing methods often simply concatenate omics features and underutilize the...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2026-04-01
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| Collection: | Metabolites |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2218-1989/16/4/268 |
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