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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Hlavní autoři:	Lu Qin, Wen Zhu, Xinyi Liao, Yujing Zhang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-04-01
Edice:	Metabolites
Témata:	cancer driver genes graph neural networks multi-omics integration topological feature enhancement knowledge distillation
On-line přístup:	https://www.mdpi.com/2218-1989/16/4/268
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