Multitype drug interaction prediction based on the deep fusion of drug features and topological relationships.
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| Title: | Multitype drug interaction prediction based on the deep fusion of drug features and topological relationships. |
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| Authors: | Kang LP; School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China., Lin KB; School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China.; Engineering Research Center of Big Data Application in Private Health Medicine, Fujian Provincial University, Putian, China., Lu P; School of Economics and Management, Xiamen University of Technology, Xiamen, China., Yang F; Department of Automation, Xiamen University, Xiamen, China., Chen JP; School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China. |
| Source: | PloS one [PLoS One] 2022 Aug 29; Vol. 17 (8), pp. e0273764. Date of Electronic Publication: 2022 Aug 29 (Print Publication: 2022). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0273764 |
