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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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| Vydáno v: | PLoS One |
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| Hlavní autoři: | , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2016
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| Témata: | |
| On-line přístup: | 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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