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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| 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 |