Prediction of Drug-Target Interactions Based on Interactive Multi-Feature Fusion Algorithm

Purposes The prediction of drug-target interactions plays a crucial role in drug relocation and drug development. Methods A multi-feature fusion algorithm is proposed based on the combination of Redundancy-Correlation and Interaction (RCI), and the prediction model is built by combining the stacked...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	GAO Haotian, LI Dongxi, CHEN Zehua, ZHAO Qian
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Editorial Office of Journal of Taiyuan University of Technology 2024-07-01
Σειρά:	Taiyuan Ligong Daxue xuebao
Θέματα:	drug-target interactions multi-feature fusion feature selection stacked ensemble classifier machine learning
Διαθέσιμο Online:	https://tyutjournal.tyut.edu.cn/englishpaper/show-2324.html
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