Variable Selection in Untargeted Metabolomics and the Danger of Sparsity
Variable Selection in Untargeted Metabolomics and the Danger of Sparsity
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
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 discriminate between groups and (2) methods that find all var...
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Full title
Variable Selection in Untargeted Metabolomics and the Danger of Sparsity
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TN_cdi_doaj_primary_oai_doaj_org_article_27dd9cd331f84e519ca6e9871fed2eba
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_27dd9cd331f84e519ca6e9871fed2eba
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ISSN
2218-1989
E-ISSN
2218-1989
DOI
10.3390/metabo10110470
