Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction ; volume:13 ; number:1 ; day:22 ; month:12 ; year:2023 ; pages:1-13 ; date:12.2023
Scientific reports ; 13, Heft 1 (22.12.2023), 1-13, 12.2023

Creator: Storås, Andrea M.
Fineide, Fredrik
Magnø, Morten
Thiede, Bernd
Chen, Xiangjun
Strümke, Inga
Halvorsen, Pål
Galtung, Hilde
Jensen, Janicke L.
Utheim, Tor P.
Riegler, Michael A.

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-023-50342-7

URN: urn:nbn:de:101:1-2024030807050387414490

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

Last update: 14.08.2025, 10:49 AM CEST

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Storås, Andrea M.
Fineide, Fredrik
Magnø, Morten
Thiede, Bernd
Chen, Xiangjun
Strümke, Inga
Halvorsen, Pål
Galtung, Hilde
Jensen, Janicke L.
Utheim, Tor P.
Riegler, Michael A.
SpringerLink (Online service)

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Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction

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