Benchmarking Outlier Detection Methods for Detecting IEM Patients in Untargeted Metabolomics Data

Untargeted metabolomics (UM) is increasingly being deployed as a strategy for screening patients that are suspected of having an inborn error of metabolism (IEM). In this study, we examined the potential of existing outlier detection methods to detect IEM patient profiles. We benchmarked 30 differen...

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Detalles Bibliográficos
Autores principales: Bongaerts, Michiel, Kulkarni, Purva, Zammit, Alan, Bonte, Ramon, Kluijtmans, Leo A. J., Blom, Henk J., Engelke, Udo F. H., Tax, David M. J., Ruijter, George J. G., Reinders, Marcel J. T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863797/
https://www.ncbi.nlm.nih.gov/pubmed/36677022
http://dx.doi.org/10.3390/metabo13010097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863797/
https://www.ncbi.nlm.nih.gov/pubmed/36677022
http://dx.doi.org/10.3390/metabo13010097

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