AutoGater: a weakly supervised neural network model to gate cells in flow cytometric analyses

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: AutoGater: a weakly supervised neural network model to gate cells in flow cytometric analyses ; volume:14 ; number:1 ; day:9 ; month:10 ; year:2024 ; pages:1-10 ; date:12.2024
Scientific reports ; 14, Heft 1 (9.10.2024), 1-10, 12.2024

Creator: Eslami, Mohammed
Moseley, Robert C.
Eramian, Hamed
Bryce, Daniel
Haase, Steven B.

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-024-66936-8

URN: urn:nbn:de:101:1-2412262120090.462780371867

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:34 AM CEST

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Eslami, Mohammed
Moseley, Robert C.
Eramian, Hamed
Bryce, Daniel
Haase, Steven B.
SpringerLink (Online service)

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AutoGater: a weakly supervised neural network model to gate cells in flow cytometric analyses

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