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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| 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 |