Rule-Mining for the Early Prediction of Chronic Kidney Disease Based on Metabolomics and Multi-Source Data

(1)H Nuclear Magnetic Resonance (NMR)-based metabolic profiling is very promising for the diagnostic of the stages of chronic kidney disease (CKD). Because of the high dimension of NMR spectra datasets and the complex mixture of metabolites in biological samples, the identification of discriminant b...

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Опубликовано в: :PLoS One
Главные авторы: Luck, Margaux, Bertho, Gildas, Bateson, Mathilde, Karras, Alexandre, Yartseva, Anastasia, Thervet, Eric, Damon, Cecilia, Pallet, Nicolas
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2016
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Research Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC5115883/
https://ncbi.nlm.nih.gov/pubmed/27861591
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0166905
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