Interpretable unsupervised learning enables accurate clustering with high-throughput imaging flow cytometry
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Interpretable unsupervised learning enables accurate clustering with high-throughput imaging flow cytometry ; volume:13 ; number:1 ; day:23 ; month:11 ; year:2023 ; pages:1-11 ; date:12.2023
Scientific reports ; 13, Heft 1 (23.11.2023), 1-11, 12.2023
- Urheber
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Zhang, Zunming
Chen, Xinyu
Tang, Rui
Zhu, Yuxuan
Guo, Han
Qu, Yunjia
Xie, Pengtao
Lian, Ian Y.
Wang, Yingxiao
Lo, Yu-Hwa
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-023-46782-w
- URN
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urn:nbn:de:101:1-2024021308563097485283
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:36 MESZ
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Beteiligte
- Zhang, Zunming
- Chen, Xinyu
- Tang, Rui
- Zhu, Yuxuan
- Guo, Han
- Qu, Yunjia
- Xie, Pengtao
- Lian, Ian Y.
- Wang, Yingxiao
- Lo, Yu-Hwa
- SpringerLink (Online service)
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