Drug-target interaction prediction via class imbalance-aware ensemble learning
Background: Multiple computational methods for predicting drug-target interactions have been developed to facilitate the drug discovery process. These methods use available data on known drug-target interactions to train classifiers with the purpose of predicting new undiscovered interactions. Howev...
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| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/89292 http://hdl.handle.net/10220/46173 |
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| Institution: | Nanyang Technological University |
| Language: | English |