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WaveICA 2.0: a novel batch effect removal method for untargeted metabolomics data without using batch information.
Deng, Kui; Zhao, Falin; Rong, Zhiwei; Cao, Lei; Zhang, Liuchao; Li, Kang; Hou, Yan; Zhu, Zheng-Jiang.
Afiliação
  • Deng K; Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.
  • Zhao F; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.
  • Rong Z; Department of Health Management, School of Medicine, Hangzhou Normal University, Hangzhou, China.
  • Cao L; Department of Epidemiology and Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
  • Zhang L; Department of Epidemiology and Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
  • Li K; Department of Epidemiology and Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
  • Hou Y; Department of Epidemiology and Biostatistics, School of Public Health, Harbin Medical University, Harbin, China. likang@ems.hrbmu.edu.cn.
  • Zhu ZJ; Department of Biostatistics, School of Public Health, Peking University, Beijing, China. houyan@bjmu.edu.cn.
Metabolomics ; 17(10): 87, 2021 09 20.
Article em En | MEDLINE | ID: mdl-34542717
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Metabolômica Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Metabolômica Idioma: En Ano de publicação: 2021 Tipo de documento: Article