Variable Selection in Untargeted Metabolomics and the Danger of Sparsity

Variable Selection in Untargeted Metabolomics and the Danger of Sparsity

The goal of metabolomics is to measure as many metabolites as possible in order to capture biomarkers that may indicate disease mechanisms. Variable selection in chemometric methods can be divided into the following two groups: (1) sparse methods that find the minimal set of variables to discriminat...

Full description

Bibliographic Details
Main Authors: Gerjen H. Tinnevelt, Udo F.H. Engelke, Ron A. Wevers, Stefanie Veenhuis, Michel A. Willemsen, Karlien L.M. Coene, Purva Kulkarni, Jeroen J. Jansen
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Metabolites
Subjects:
univariate/multivariate statistics
chemometrics
untargeted metabolomics
variable selection
ataxia–telangiectasia
vitamin B3/nicotinamide riboside treatment
Online Access:https://www.mdpi.com/2218-1989/10/11/470

Internet

https://www.mdpi.com/2218-1989/10/11/470

Similar Items