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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...
Gorde:
| Argitaratua izan da: | BMC Bioinformatics |
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| Egile Nagusiak: | , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BioMed Central
2019
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6320570/ https://ncbi.nlm.nih.gov/pubmed/30611214 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2575-6 |
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