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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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| Udgivet i: | Metabolites |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI
2018
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| Fag: | |
| Online adgang: | 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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