Discovering Temporal Patterns in Longitudinal Nontargeted Metabolomics Data via Group and Nuclear Norm Regularized Multivariate Regression

Temporal associations in longitudinal nontargeted metabolomics data are generally ignored by common pattern recognition methods such as partial least squares discriminant analysis (PLS-DA) and orthogonal partial least squares discriminant analysis (OPLS-DA). To discover temporal patterns in longitud...

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Detalles Bibliográficos
Autores principales: Lin, Zhaozhou, Zhang, Qiao, Dai, Shengyun, Gao, Xiaoyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7022931/
https://www.ncbi.nlm.nih.gov/pubmed/31941030
http://dx.doi.org/10.3390/metabo10010033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7022931/
https://www.ncbi.nlm.nih.gov/pubmed/31941030
http://dx.doi.org/10.3390/metabo10010033

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