Revealing potential diagnostic gene biomarkers of septic shock based on machine learning analysis
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2334
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
-
Revealing potential diagnostic gene biomarkers of septic shock based on machine learning analysis ; volume:22 ; number:1 ; day:19 ; month:1 ; year:2022 ; pages:1-16 ; date:12.2022
BMC infectious diseases ; 22, Heft 1 (19.1.2022), 1-16, 12.2022
- Urheber
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Fan, Yonghua
Han, Qiufeng
Li, Jinfeng
Ye, Gaige
Zhang, Xianjing
Xu, Tengxiao
Li, Huaqing
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s12879-022-07056-4
- URN
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urn:nbn:de:101:1-2022050108530952575893
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:23 MESZ
Datenpartner
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Beteiligte
- Fan, Yonghua
- Han, Qiufeng
- Li, Jinfeng
- Ye, Gaige
- Zhang, Xianjing
- Xu, Tengxiao
- Li, Huaqing
- SpringerLink (Online service)
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