CGINet: graph convolutional network-based model for identifying chemical-gene interaction in an integrated multi-relational graph

BACKGROUND: Elucidation of interactive relation between chemicals and genes is of key relevance not only for discovering new drug leads in drug development but also for repositioning existing drugs to novel therapeutic targets. Recently, biological network-based approaches have been proven to be eff...

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Detalles Bibliográficos
Autores principales: Wang, Wei, Yang, Xi, Wu, Chengkun, Yang, Canqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689985/
https://www.ncbi.nlm.nih.gov/pubmed/33243142
http://dx.doi.org/10.1186/s12859-020-03899-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689985/
https://www.ncbi.nlm.nih.gov/pubmed/33243142
http://dx.doi.org/10.1186/s12859-020-03899-3

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