scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1474-760X
- 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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scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data ; volume:20 ; number:1 ; day:9 ; month:9 ; year:2019 ; pages:1-20 ; date:12.2019
Genome biology ; 20, Heft 1 (9.9.2019), 1-20, 12.2019
- Urheber
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Li, Ruoxin
Quon, Gerald
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s13059-019-1806-0
- URN
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urn:nbn:de:101:1-2020031723530515183872
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:04 MESZ
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Beteiligte
- Li, Ruoxin
- Quon, Gerald
- SpringerLink (Online service)
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