Improved One-Class Modeling of High-Dimensional Metabolomics Data via Eigenvalue-Shrinkage

One-class modelling is a useful approach in metabolomics for the untargeted detection of abnormal metabolite profiles, when information from a set of reference observations is available to model “normal” or baseline metabolite profiles. Such outlying profiles are typically identified by comparing th...

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Detalles Bibliográficos
Autores principales: Brini, Alberto, Avagyan, Vahe, de Vos, Ric C. H., Vossen, Jack H., van den Heuvel, Edwin R., Engel, Jasper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069634/
https://www.ncbi.nlm.nih.gov/pubmed/33924479
http://dx.doi.org/10.3390/metabo11040237

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069634/
https://www.ncbi.nlm.nih.gov/pubmed/33924479
http://dx.doi.org/10.3390/metabo11040237

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