Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Bioinformatic analysis of underlying mechanisms of Kawasaki disease via Weighted Gene Correlation Network Analysis (WGCNA) and the Least Absolute Shrinkage and Selection Operator method (LASSO) regression model ; volume:23 ; number:1 ; day:24 ; month:2 ; year:2023 ; pages:1-16 ; date:12.2023
BMC pediatrics ; 23, Heft 1 (24.2.2023), 1-16, 12.2023
- Urheber
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Xie, Yaxue
Shi, Hongshuo
Han, Bo
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12887-023-03896-4
- URN
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urn:nbn:de:101:1-2023062509520674970101
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:51 MESZ
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Beteiligte
- Xie, Yaxue
- Shi, Hongshuo
- Han, Bo
- SpringerLink (Online service)
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