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Predicting drug-disease associations by using similarity constrained matrix factorization
BACKGROUND: Drug-disease associations provide important information for the drug discovery. Wet experiments that identify drug-disease associations are time-consuming and expensive. However, many drug-disease associations are still unobserved or unknown. The development of computational methods for...
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| Gepubliceerd in: | BMC Bioinformatics |
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| Hoofdauteurs: | , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6006580/ https://ncbi.nlm.nih.gov/pubmed/29914348 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2220-4 |
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