Realizing drug repositioning by adapting a recommendation system to handle the process

2018-04-12
OZSOY, Makbule Guclin
Ozyer, Tansel
Polat, Faruk
Alhajj, Reda
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Background: Drug repositioning is the process of identifying new targets for known drugs. It can be used to overcome problems associated with traditional drug discovery by adapting existing drugs to treat new discovered diseases. Thus, it may reduce associated risk, cost and time required to identify and verify new drugs. Nowadays, drug repositioning has received more attention from industry and academia. To tackle this problem, researchers have applied many different computational methods and have used various features of drugs and diseases.
Drug repositioning, Multiple data sources, Multiple features, Pareto dominance, Collaborative filtering, Recommendation systems
https://hdl.handle.net/11511/48308
BMC BIOINFORMATICS
Department of Computer Engineering, Article

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Citation Formats
M. G. OZSOY, T. Ozyer, F. Polat, and R. Alhajj, “Realizing drug repositioning by adapting a recommendation system to handle the process,” BMC BIOINFORMATICS, pp. 0–0, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48308.
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