Partial Least Squares Discriminant Analysis and Bayesian Networks for Metabolomic Prediction of Childhood Asthma

To explore novel methods for the analysis of metabolomics data, we compared the ability of Partial Least Squares Discriminant Analysis (PLS-DA) and Bayesian networks (BN) to build predictive plasma metabolite models of age three asthma status in 411 three year olds (<i>n</i> = 59 cases a...

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Bibliografiska uppgifter
Huvudupphovsmän: Rachel S. Kelly, Michael J. McGeachie, Kathleen A. Lee-Sarwar, Priyadarshini Kachroo, Su H. Chu, Yamini V. Virkud, Mengna Huang, Augusto A. Litonjua, Scott T. Weiss, Jessica Lasky-Su
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2018-10-01
Serie:Metabolites
Ämnen:
Partial Least-Squares Discriminant analysis
Bayesian networks
asthma
arginine metabolism
overfitting
Länkar:https://www.mdpi.com/2218-1989/8/4/68
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