Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanism

BACKGROUND: Correctly identifying the driver genes that promote cell growth can significantly assist drug design, cancer diagnosis and treatment. The recent large-scale cancer genomics projects have revealed multi-omics data from thousands of cancer patients, which requires to design effective model...

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Detalles Bibliográficos
Autores principales: Peng, Wei, Wu, Rong, Dai, Wei, Yu, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838012/
https://www.ncbi.nlm.nih.gov/pubmed/36639646
http://dx.doi.org/10.1186/s12859-023-05140-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838012/
https://www.ncbi.nlm.nih.gov/pubmed/36639646
http://dx.doi.org/10.1186/s12859-023-05140-3

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