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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316795/
https://www.ncbi.nlm.nih.gov/pubmed/30360514
http://dx.doi.org/10.3390/metabo8040068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316795/
https://www.ncbi.nlm.nih.gov/pubmed/30360514
http://dx.doi.org/10.3390/metabo8040068

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