Cargando…
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...
Autores principales: | Luck, Margaux, Bertho, Gildas, Bateson, Mathilde, Karras, Alexandre, Yartseva, Anastasia, Thervet, Eric, Damon, Cecilia, Pallet, Nicolas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5115883/ https://www.ncbi.nlm.nih.gov/pubmed/27861591 http://dx.doi.org/10.1371/journal.pone.0166905 |
Ejemplares similares
-
Urinary metabolic profiling of asymptomatic acute intermittent porphyria using a rule-mining-based algorithm
por: Luck, Margaux, et al.
Publicado: (2017) -
Correction to: Urinary metabolic profiling of asymptomatic acute intermittent porphyria using a rule-mining-based algorithm
por: Luck, Margaux, et al.
Publicado: (2018) -
Porphyria and kidney diseases
por: Pallet, Nicolas, et al.
Publicado: (2018) -
COVID-19–Related Collapsing Glomerulopathy in a Kidney Transplant Recipient
por: Lazareth, Hélène, et al.
Publicado: (2020) -
Urinary Retinol Binding Protein Is a Marker of the Extent of Interstitial Kidney Fibrosis
por: Pallet, Nicolas, et al.
Publicado: (2014)