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...
| Published in: | BioMed Research International pp. 1 - 11 |
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| Main Authors: | , |
| Format: | equations & formulas research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
3/28/2021
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| Online Access: | View this record in EBSCOhost |