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Drug-Target Interaction Prediction via Dual Laplacian Graph Regularized Logistic Matrix Factorization
Drug-target interactions provide useful information for biomedical drug discovery as well as drug development. However, it is costly and time consuming to find drug-target interactions by experimental methods. As a result, developing computational approaches for this task is necessary and has practi...
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| Publicado no: | Biomed Res Int |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8019634/ https://ncbi.nlm.nih.gov/pubmed/33855072 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/5599263 |
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