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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 (n = 59 cases and 352 controls) fr...

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Foilsithe in:Metabolites
Main Authors: Kelly, Rachel S., McGeachie, Michael J., Lee-Sarwar, Kathleen A., Kachroo, Priyadarshini, Chu, Su H., Virkud, Yamini V., Huang, Mengna, Litonjua, Augusto A., Weiss, Scott T., Lasky-Su, Jessica
Formáid: Artigo
Teanga:Inglês
Foilsithe: MDPI 2018
Ábhair:
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6316795/
https://ncbi.nlm.nih.gov/pubmed/30360514
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/metabo8040068
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