Improved One-Class Modeling of High-Dimensional Metabolomics Data via Eigenvalue-Shrinkage
Sign Up to like & getrecommendations! Published in 2021 at "Metabolites"
DOI: 10.3390/metabo11040237
Abstract: 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… read more here.
Keywords: metabolomics data; class; eigenvalue shrinkage; class modeling ... See more keywords