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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2021-01-01
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| Series: | BioMed Research International |
| Online Access: | http://dx.doi.org/10.1155/2021/5599263 |