- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Multiscale topology classifies cells in subcellular spatial transcriptomics ; volume:630 ; number:8018 ; day:19 ; month:6 ; year:2024 ; pages:943-949 ; date:6.2024
Nature; 630, Heft 8018 (19.6.2024), 943-949, 6.2024
- Creator
-
Benjamin, Katherine
Bhandari, Aneesha
Kepple, Jessica D.
Qi, Rui
Shang, Zhouchun
Xing, Yanan
An, Yanru
Zhang, Nannan
Hou, Yong
Crockford, Tanya L.
McCallion, Oliver
Issa, Fadi
Hester, Joanna
Tillmann, Ulrike
Harrington, Heather A.
Bull, Katherine R.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41586-024-07563-1
- URN
-
urn:nbn:de:101:1-2409162111506.209808109766
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:25 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Benjamin, Katherine
- Bhandari, Aneesha
- Kepple, Jessica D.
- Qi, Rui
- Shang, Zhouchun
- Xing, Yanan
- An, Yanru
- Zhang, Nannan
- Hou, Yong
- Crockford, Tanya L.
- McCallion, Oliver
- Issa, Fadi
- Hester, Joanna
- Tillmann, Ulrike
- Harrington, Heather A.
- Bull, Katherine R.
- SpringerLink (Online service)
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BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data
MNMST: topology of cell networks leverages identification of spatial domains from spatial transcriptomics data
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