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A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration
BACKGROUND: Drug repositioning is the process of identifying new uses for existing drugs. Computational drug repositioning methods can reduce the time, costs and risks of drug development by automating the analysis of the relationships in pharmacology networks. Pharmacology networks are large and he...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5896044/ https://www.ncbi.nlm.nih.gov/pubmed/29642848 http://dx.doi.org/10.1186/s12859-018-2123-4 |