Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies

BACKGROUND: Untargeted mass spectrometry (MS)-based metabolomics data often contain missing values that reduce statistical power and can introduce bias in biomedical studies. However, a systematic assessment of the various sources of missing values and strategies to handle these data has received li...

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Detalhes bibliográficos
Publicado no:Metabolomics
Main Authors: Do, Kieu Trinh, Wahl, Simone, Raffler, Johannes, Molnos, Sophie, Laimighofer, Michael, Adamski, Jerzy, Suhre, Karsten, Strauch, Konstantin, Peters, Annette, Gieger, Christian, Langenberg, Claudia, Stewart, Isobel D., Theis, Fabian J., Grallert, Harald, Kastenmüller, Gabi, Krumsiek, Jan
Formato: Artigo
Idioma:Inglês
Publicado em: Springer US 2018
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Original Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6153696/
https://ncbi.nlm.nih.gov/pubmed/30830398
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11306-018-1420-2
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