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Predicting drug-disease interactions by semi-supervised graph cut algorithm and three-layer data integration
BACKGROUND: Prediction of drug-disease interactions is promising for either drug repositioning or disease treatment fields. The discovery of novel drug-disease interactions, on one hand can help to find novel indictions for the approved drugs; on the other hand can provide new therapeutic approaches...
| 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/PMC5751445/ https://www.ncbi.nlm.nih.gov/pubmed/29297383 http://dx.doi.org/10.1186/s12920-017-0311-0 |