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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019634/ https://www.ncbi.nlm.nih.gov/pubmed/33855072 http://dx.doi.org/10.1155/2021/5599263 |