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1 to 3 of 3 Results
W4M00003_Diaplasma
Aug 20, 2018 - PFEM Dataverse
Etienne Thévenot; Philippe Rinaudo, 2018, "W4M00003_Diaplasma", https://doi.org/10.15454/1.4811165052113186E12, Portail Data INRAE, V2
Abstract:Study: Identification of metabolomics signatures for patient stratification between type 1 versus type 2 diabetes mellitus. Dataset: plasma samples from 69 diabetic patients were analyzed by reversed phase (C18) ultra-high performance liquid chromatography (UPLC) coupled...
W4M00002_Sacurine-comprehensive
Aug 20, 2018 - PFEM Dataverse
Etienne Thévenot, 2018, "W4M00002_Sacurine-comprehensive", https://doi.org/10.15454/1.481114233733302E12, Portail Data INRAE, V2
Abstract:Study: Characterization of the physiological variations of the metabolome in biofluids is critical to understand human physiology and to avoid confounding effects in cohort studies aiming at biomarker discovery. In this study conducted by the MetaboHUB French Infrastruct...
W4M00001_Sacurine-statistics
Aug 20, 2018 - PFEM Dataverse
Etienne Thévenot, 2018, "W4M00001_Sacurine-statistics", https://doi.org/10.15454/1.4811121736910142E12, Portail Data INRAE, V2
Abstract:Study: Characterization of the physiological variations of the metabolome in biofluids is critical to understand human physiology and to avoid confounding effects in cohort studies aiming at biomarker discovery. Dataset: In this study conducted by the MetaboHUB French In...
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