XGDAG: explainable gene–disease associations via graph neural networks

MOTIVATION: Disease gene prioritization consists in identifying genes that are likely to be involved in the mechanisms of a given disease, providing a ranking of such genes. Recently, the research community has used computational methods to uncover unknown gene–disease associations; these methods ra...

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Detalles Bibliográficos
Autores principales: Mastropietro, Andrea, De Carlo, Gianluca, Anagnostopoulos, Aris
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/PMC10421968/
https://www.ncbi.nlm.nih.gov/pubmed/37531293
http://dx.doi.org/10.1093/bioinformatics/btad482

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10421968/
https://www.ncbi.nlm.nih.gov/pubmed/37531293
http://dx.doi.org/10.1093/bioinformatics/btad482

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