SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization

MOTIVATION: Thanks to the increasing availability of drug–drug interactions (DDI) datasets and large biomedical knowledge graphs (KGs), accurate detection of adverse DDI using machine learning models becomes possible. However, it remains largely an open problem how to effectively utilize large and n...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Yue, Huang, Kexin, Zhang, Chao, Glass, Lucas M, Sun, Jimeng, Xiao, Cao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060701/
https://www.ncbi.nlm.nih.gov/pubmed/33769494
http://dx.doi.org/10.1093/bioinformatics/btab207

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060701/
https://www.ncbi.nlm.nih.gov/pubmed/33769494
http://dx.doi.org/10.1093/bioinformatics/btab207

Ejemplares similares