Revealing potential diagnostic gene biomarkers of septic shock based on machine learning analysis

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1471-2334
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
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

Creator
Fan, Yonghua
Han, Qiufeng
Li, Jinfeng
Ye, Gaige
Zhang, Xianjing
Xu, Tengxiao
Li, Huaqing
Contributor
SpringerLink (Online service)

DOI
10.1186/s12879-022-07056-4
URN
urn:nbn:de:101:1-2022050108530952575893
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:23 AM CEST

Data provider

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Associated

  • Fan, Yonghua
  • Han, Qiufeng
  • Li, Jinfeng
  • Ye, Gaige
  • Zhang, Xianjing
  • Xu, Tengxiao
  • Li, Huaqing
  • SpringerLink (Online service)

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