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The computational prediction of drug-disease interactions using the dual-network L(2,1)-CMF method
BACKGROUND: Predicting drug-disease interactions (DDIs) is time-consuming and expensive. Improving the accuracy of prediction results is necessary, and it is crucial to develop a novel computing technology to predict new DDIs. The existing methods mostly use the construction of heterogeneous network...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6320570/ https://www.ncbi.nlm.nih.gov/pubmed/30611214 http://dx.doi.org/10.1186/s12859-018-2575-6 |