Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing

MOTIVATION: Mining drug–disease association and related interactions are essential for developing in silico drug repurposing (DR) methods and understanding underlying biological mechanisms. Recently, large-scale biological databases are increasingly available for pharmaceutical research, allowing fo...

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Detalles Bibliográficos
Autores principales: Wang, Zichen, Zhou, Mu, Arnold, Corey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Systems Biology and Networks
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355266/
https://www.ncbi.nlm.nih.gov/pubmed/32657387
http://dx.doi.org/10.1093/bioinformatics/btaa437

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355266/
https://www.ncbi.nlm.nih.gov/pubmed/32657387
http://dx.doi.org/10.1093/bioinformatics/btaa437

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