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 and 352 contr...

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Bibliografski detalji

Glavni autori:	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
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2018-10-01
Serija:	Metabolites
Teme:	Partial Least-Squares Discriminant analysis Bayesian networks asthma arginine metabolism overfitting
Online pristup:	https://www.mdpi.com/2218-1989/8/4/68
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