scDLC: a deep learning framework to classify large sample single-cell RNA-seq data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2164
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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scDLC: a deep learning framework to classify large sample single-cell RNA-seq data ; volume:23 ; number:1 ; day:12 ; month:7 ; year:2022 ; pages:1-12 ; date:12.2022
BMC genomics ; 23, Heft 1 (12.7.2022), 1-12, 12.2022
- Urheber
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Zhou, Yan
Peng, Minjiao
Yang, Bin
Tong, Tiejun
Zhang, Baoxue
Tang, Niansheng
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12864-022-08715-1
- URN
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urn:nbn:de:101:1-2022091812472645225160
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:37 MESZ
Datenpartner
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Beteiligte
- Zhou, Yan
- Peng, Minjiao
- Yang, Bin
- Tong, Tiejun
- Zhang, Baoxue
- Tang, Niansheng
- SpringerLink (Online service)
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