A deep-learning model for characterizing tumor heterogeneity using patient-derived organoids
- 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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A deep-learning model for characterizing tumor heterogeneity using patient-derived organoids ; volume:14 ; number:1 ; day:1 ; month:10 ; year:2024 ; pages:1-10 ; date:12.2024
Scientific reports ; 14, Heft 1 (1.10.2024), 1-10, 12.2024
- Creator
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Takagi, Kosuke
Takagi, Motoki
Hiyama, Gen
Goda, Kazuhito
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-73725-w
- URN
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urn:nbn:de:101:1-2412182115595.562249260297
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:27 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Takagi, Kosuke
- Takagi, Motoki
- Hiyama, Gen
- Goda, Kazuhito
- SpringerLink (Online service)
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