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Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization
BACKGROUND: Drug-drug interactions (DDIs) always cause unexpected and even adverse drug reactions. It is important to identify DDIs before drugs are used in the market. However, preclinical identification of DDIs requires much money and time. Computational approaches have exhibited their abilities t...
| 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/PMC5907306/ https://www.ncbi.nlm.nih.gov/pubmed/29671393 http://dx.doi.org/10.1186/s12918-018-0532-7 |