Explainable Multilayer Graph Neural Network for cancer gene prediction

MOTIVATION: The identification of cancer genes is a critical yet challenging problem in cancer genomics research. Existing computational methods, including deep graph neural networks, fail to exploit the multilayered gene–gene interactions or provide limited explanations for their predictions. These...

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Detalles Bibliográficos
Autores principales: Chatzianastasis, Michail, Vazirgiannis, Michalis, Zhang, Zijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636280/
https://www.ncbi.nlm.nih.gov/pubmed/37862225
http://dx.doi.org/10.1093/bioinformatics/btad643

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636280/
https://www.ncbi.nlm.nih.gov/pubmed/37862225
http://dx.doi.org/10.1093/bioinformatics/btad643

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