M-GNN: A Topology-Enhanced Multi-Modal Graph Neural Network for Cancer Driver Gene Prediction

M-GNN provides a robust and interpretable computational tool for systematic cancer driver gene identification, effectively integrating multi-omics and network data.

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Publication Details

Journal
Metabolites
Published
2026-04-16
DOI
https://doi.org/10.3390/metabo16040268
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

M-GNN: A Topology-Enhanced Multi-Modal Graph Neural Network for Cancer Driver Gene Prediction

Yujing Zhang, Wen Zhu, Xinyi Liao, Lu Qin
Metabolites
Bioinformatics and Genomic Networks
article

M-GNN: A Topology-Enhanced Multi-Modal Graph Neural Network for Cancer Driver Gene Prediction

Yujing Zhang, Wen Zhu, Xinyi Liao, Lu Qin
article en

Abstract

M-GNN provides a robust and interpretable computational tool for systematic cancer driver gene identification, effectively integrating multi-omics and network data.

MetabolitesVol. 16(4)
Hainan Normal University (CN), Guangdong Polytechnic Normal University (CN), China United Network Communications Group (China) (CN)
National Natural Science Foundation of China, Division of Graduate Education
Openalex Percentile: Top 22%
Bioinformatics and Genomic Networks
DOIOpen Access PDFOpenAlex
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