OTSUCNV: an adaptive segmentation and OTSU-based anomaly classification method for CNV detection using NGS data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
-
OTSUCNV: an adaptive segmentation and OTSU-based anomaly classification method for CNV detection using NGS data ; volume:25 ; number:1 ; day:30 ; month:1 ; year:2024 ; pages:1-11 ; date:12.2024
BMC genomics ; 25, Heft 1 (30.1.2024), 1-11, 12.2024
- Urheber
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Xie, Kun
Ge, Xiaojun
Alvi, Haque A.K
Liu, Kang
Song, Jianfeng
Yu, Qiang
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s12864-024-10018-6
- URN
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urn:nbn:de:101:1-2024041011570397099959
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:49 MESZ
Datenpartner
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Beteiligte
- Xie, Kun
- Ge, Xiaojun
- Alvi, Haque A.K
- Liu, Kang
- Song, Jianfeng
- Yu, Qiang
- SpringerLink (Online service)
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