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Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces
BACKGROUND: Detection of new drug-target interactions by computational algorithms is of crucial value to both old drug repositioning and new drug discovery. Existing machine-learning methods rely only on experimentally validated drug-target interactions (i.e., positive samples) for the predictions....
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933655/ https://www.ncbi.nlm.nih.gov/pubmed/31881829 http://dx.doi.org/10.1186/s12859-019-3238-y |