CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Umfang
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Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training ; volume:22 ; number:1 ; day:12 ; month:5 ; year:2021 ; pages:1-17 ; date:12.2021
BMC bioinformatics ; 22, Heft 1 (12.5.2021), 1-17, 12.2021
- Urheber
-
Mostavi, Milad
Chiu, Yu-Chiao
Chen, Yidong
Huang, Yufei
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-021-04157-w
- URN
-
urn:nbn:de:101:1-2021091221495225266083
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:26 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Mostavi, Milad
- Chiu, Yu-Chiao
- Chen, Yidong
- Huang, Yufei
- SpringerLink (Online service)
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