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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Detalhes bibliográficos
Publicado no: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
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2018
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Article
Acesso em linha: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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