Journal
JOURNAL OF MASS SPECTROMETRY
Volume 56, Issue 3, Pages -Publisher
WILEY
DOI: 10.1002/jms.4702
Keywords
AIC; biomarkers; feature selection; LASSO; logistic regression; mass spectrometry
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A reliable diagnostic model can be built by selecting lipid species with the most discriminative potential and developing the model based on these lipids.
Hundreds of compounds are detected during untargeted lipidomics analysis. The potential efficacy of lipids as disease markers makes it important to select the species with the most discriminative potential. Datasets based on a selected class of lipids allow the development of a high-quality diagnostic model using orthogonal projection on latent structure. The combination of selection of lipids by variable importance in projection and by Akaike information criteria makes it possible to build a reliable diagnostic model based on logistic regression.
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