A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2041-1723
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies ; volume:10 ; number:1 ; day:9 ; month:4 ; year:2019 ; pages:1-10 ; date:12.2019
Nature Communications ; 10, Heft 1 (9.4.2019), 1-10, 12.2019
- Klassifikation
-
Naturwissenschaften
- Urheber
-
Sun, Zhe
Chen, Li
Xin, Hongyi
Jiang, Yale
Huang, Qianhui
Cillo, Anthony R.
Tabib, Tracy
Kolls, Jay K.
Bruno, Tullia C.
Lafyatis, Robert
Vignali, Dario A. A.
Chen, Kong
Ding, Ying
Hu, Ming
Chen, Wei
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-019-09639-3
- URN
-
urn:nbn:de:101:1-2019042403310713997916
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 11:03 MESZ
Datenpartner
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Beteiligte
- Sun, Zhe
- Chen, Li
- Xin, Hongyi
- Jiang, Yale
- Huang, Qianhui
- Cillo, Anthony R.
- Tabib, Tracy
- Kolls, Jay K.
- Bruno, Tullia C.
- Lafyatis, Robert
- Vignali, Dario A. A.
- Chen, Kong
- Ding, Ying
- Hu, Ming
- Chen, Wei
- SpringerLink (Online service)
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