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Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes
BACKGROUND: Investigating and understanding drug-drug interactions (DDIs) is important in improving the effectiveness of clinical care. DDIs can occur when two or more drugs are administered together. Experimentally based DDI detection methods require a large cost and time. Hence, there is a great i...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333429/ https://www.ncbi.nlm.nih.gov/pubmed/28249566 http://dx.doi.org/10.1186/s12859-017-1546-7 |