OTSUCNV: an adaptive segmentation and OTSU-based anomaly classification method for CNV detection using NGS data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: 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

Creator: Xie, Kun
Ge, Xiaojun
Alvi, Haque A.K
Liu, Kang
Song, Jianfeng
Yu, Qiang

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12864-024-10018-6

URN: urn:nbn:de:101:1-2024041011570397099959

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:49 AM CEST

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Xie, Kun
Ge, Xiaojun
Alvi, Haque A.K
Liu, Kang
Song, Jianfeng
Yu, Qiang
SpringerLink (Online service)

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