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Drug-Target Interaction Prediction via Dual Laplacian Graph Regularized Matrix Completion
Drug-target interactions play an important role for biomedical drug discovery and development. However, it is expensive and time-consuming to accomplish this task by experimental determination. Therefore, developing computational techniques for drug-target interaction prediction is urgent and has pr...
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| Publicado no: | Biomed Res Int |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6304580/ https://ncbi.nlm.nih.gov/pubmed/30627536 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/1425608 |
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