Similarity measures-based graph co-contrastive learning for drug–disease association prediction

MOTIVATION: An imperative step in drug discovery is the prediction of drug–disease associations (DDAs), which tries to uncover potential therapeutic possibilities for already validated drugs. It is costly and time-consuming to predict DDAs using wet experiments. Graph Neural Networks as an emerging...

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Detalles Bibliográficos
Autores principales: Gao, Zihao, Ma, Huifang, Zhang, Xiaohui, Wang, Yike, Wu, Zheyu
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/PMC10275904/
https://www.ncbi.nlm.nih.gov/pubmed/37261859
http://dx.doi.org/10.1093/bioinformatics/btad357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275904/
https://www.ncbi.nlm.nih.gov/pubmed/37261859
http://dx.doi.org/10.1093/bioinformatics/btad357

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