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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Bibliographic Details
Main Authors: Ezzat, Ali, Wu, Min, Li, Xiao-Li, Kwoh, Chee-Keong
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2018
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