Some Remarks on Prediction of Drug-Target Interaction with Network Models
Author:
Affiliation:
1. Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi'an, 710072, China
2. College of Computer Science, Xi’an Shiyou University, Xi’an 710065, China
Publisher
Bentham Science Publishers Ltd.
Subject
Drug Discovery,General Medicine
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features;Briefings in Bioinformatics;2019-12-23
2. Advances in the Prediction of Protein Subcellular Locations with Machine Learning;Current Bioinformatics;2019-06-28
3. Prediction of Drug-Target Interaction with Graph Regularized Non-Negative Matrix Factorization;Journal of Physics: Conference Series;2019-06-01
4. Prediction of drug-target interaction by integrating diverse heterogeneous information source with multiple kernel learning and clustering methods;Computational Biology and Chemistry;2019-02
5. Analysis of Chemical Spaces: Implications for Drug Repurposing;In Silico Drug Design;2019
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