Identification of novel biomarkers in Hunner’s interstitial cystitis using the CIBERSORT, an algorithm based on machine learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2490
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Identification of novel biomarkers in Hunner’s interstitial cystitis using the CIBERSORT, an algorithm based on machine learning ; volume:21 ; number:1 ; day:16 ; month:8 ; year:2021 ; pages:1-12 ; date:12.2021
BMC urology ; 21, Heft 1 (16.8.2021), 1-12, 12.2021
- Urheber
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Lu, Kaining
Wei, Shan
Wang, Zhengyi
Wu, Kerong
Jiang, Junhui
Yan, Zejun
Cheng, Yue
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12894-021-00875-8
- URN
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urn:nbn:de:101:1-2021110418205322095025
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:37 MESZ
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Beteiligte
- Lu, Kaining
- Wei, Shan
- Wang, Zhengyi
- Wu, Kerong
- Jiang, Junhui
- Yan, Zejun
- Cheng, Yue
- SpringerLink (Online service)
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Interstitial cystitis
Relationship between the frequency of electrocautery of Hunner lesions and changes in bladder capacity in patients with Hunner type interstitial cystitis
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APF, HB-EGF, and EGF biomarkers in patients with ulcerative vs. non-ulcerative interstitial cystitis
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