scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1474-760X
- Umfang
-
Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
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scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles ; volume:21 ; number:1 ; day:3 ; month:2 ; year:2020 ; pages:1-19 ; date:12.2020
Genome biology ; 21, Heft 1 (3.2.2020), 1-19, 12.2020
- Urheber
-
Jin, Suoqin
Zhang, Lihua
Nie, Qing
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s13059-020-1932-8
- URN
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urn:nbn:de:101:1-2020050403583306704582
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:52 MESZ
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Beteiligte
- Jin, Suoqin
- Zhang, Lihua
- Nie, Qing
- SpringerLink (Online service)
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