SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug–drug interaction prediction
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug–drug interaction prediction ; volume:25 ; number:1 ; day:23 ; month:1 ; year:2024 ; pages:1-18 ; date:12.2024
BMC bioinformatics ; 25, Heft 1 (23.1.2024), 1-18, 12.2024
- Creator
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Zhu, Jing
Che, Chao
Jiang, Hao
Xu, Jian
Yin, Jiajun
Zhong, Zhaoqian
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12859-024-05654-4
- URN
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urn:nbn:de:101:1-2024040309340981008279
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:57 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Zhu, Jing
- Che, Chao
- Jiang, Hao
- Xu, Jian
- Yin, Jiajun
- Zhong, Zhaoqian
- SpringerLink (Online service)
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