How to approach machine learning-based prediction of drug/compound–target interactions
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1758-2946
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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How to approach machine learning-based prediction of drug/compound–target interactions ; volume:15 ; number:1 ; day:6 ; month:2 ; year:2023 ; pages:1-36 ; date:12.2023
Journal of cheminformatics ; 15, Heft 1 (6.2.2023), 1-36, 12.2023
- Creator
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Atas Guvenilir, Heval
Doğan, Tunca
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13321-023-00689-w
- URN
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urn:nbn:de:101:1-2023041021110322824609
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:52 AM CEST
Data provider
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Associated
- Atas Guvenilir, Heval
- Doğan, Tunca
- SpringerLink (Online service)
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