devCellPy is a machine learning-enabled pipeline for automated annotation of complex multilayered single-cell transcriptomic data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2041-1723
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
devCellPy is a machine learning-enabled pipeline for automated annotation of complex multilayered single-cell transcriptomic data ; volume:13 ; number:1 ; day:7 ; month:9 ; year:2022 ; pages:1-20 ; date:12.2022
Nature Communications ; 13, Heft 1 (7.9.2022), 1-20, 12.2022
- Creator
-
Galdos, Francisco X.
Xu, Sidra
Goodyer, William R.
Duan, Lauren
Huang, Yuhsin V.
Lee, Soah
Zhu, Han
Lee, Carissa
Wei, Nicholas
Lee, Daniel
Wu, Sean M.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-022-33045-x
- URN
-
urn:nbn:de:101:1-2022112421260394939217
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:31 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Galdos, Francisco X.
- Xu, Sidra
- Goodyer, William R.
- Duan, Lauren
- Huang, Yuhsin V.
- Lee, Soah
- Zhu, Han
- Lee, Carissa
- Wei, Nicholas
- Lee, Daniel
- Wu, Sean M.
- SpringerLink (Online service)
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