Autosurv: interpretable deep learning framework for cancer survival analysis incorporating clinical and multi-omics data
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Autosurv: interpretable deep learning framework for cancer survival analysis incorporating clinical and multi-omics data ; volume:8 ; number:1 ; day:5 ; month:1 ; year:2024 ; pages:1-16 ; date:12.2024
npj precision oncology ; 8, Heft 1 (5.1.2024), 1-16, 12.2024
- Urheber
-
Jiang, Lindong
Xu, Chao
Bai, Yuntong
Liu, Anqi
Gong, Yun
Wang, Yu-Ping
Deng, Hong-Wen
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41698-023-00494-6
- URN
-
urn:nbn:de:101:1-2024031821192797866058
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.20252025, 10:38 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Jiang, Lindong
- Xu, Chao
- Bai, Yuntong
- Liu, Anqi
- Gong, Yun
- Wang, Yu-Ping
- Deng, Hong-Wen
- SpringerLink (Online service)
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