FLONE: fully Lorentz network embedding for inferring novel drug targets

MOTIVATION: To predict drug targets, graph-based machine-learning methods have been widely used to capture the relationships between drug, target and disease entities in drug–disease–target (DDT) networks. However, many methods cannot explicitly consider disease types at inference time and so will p...

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Detalles Bibliográficos
Autores principales: Yue, Yang, McDonald, David, Hao, Luoying, Lei, Huangshu, Butler, Mark S, He, Shan
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/PMC10235194/
https://www.ncbi.nlm.nih.gov/pubmed/37275772
http://dx.doi.org/10.1093/bioadv/vbad066

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10235194/
https://www.ncbi.nlm.nih.gov/pubmed/37275772
http://dx.doi.org/10.1093/bioadv/vbad066

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