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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153696/
https://www.ncbi.nlm.nih.gov/pubmed/30830398
http://dx.doi.org/10.1007/s11306-018-1420-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153696/
https://www.ncbi.nlm.nih.gov/pubmed/30830398
http://dx.doi.org/10.1007/s11306-018-1420-2

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