Chemometric approaches to improve PLSDA model outcome for predicting human non-alcoholic fatty liver disease using UPLC-MS as a metabolic profiling tool - Bertin Instruments

    Scientific publications

    Chemometric approaches to improve PLSDA model outcome for predicting human non-alcoholic fatty liver disease using UPLC-MS as a metabolic profiling tool

    Guillermo Quintás, Nuria Portillo, Juan Carlos García-Cañaveras, José Vicente Castell, Alberto Ferrer and Agustín Lahoz
    Sources: 1. Unidad Analítica Mixta Instituto de Investigación Sanitaria-Fundación Hospital La Fe, Valencia, Spain 2. Department of Applied Statistics, Operations Research and Quality, Universidad Politécnica of Valencia, Valencia, Spain 3. Departamento de Bioquímica y Biología Molecular, Facultad de Medicina, Universidad de Valencia, Valencia, Spain 4. Unidad de Hepatología Experimental, Instituto de Investigación Sanitaria Fundación Hospital La Fe, Av. Campanar, 21, 46009 Valencia, Spain
    MetabolomicsVolume 8, Number 1, 86-98, DOI: 10.1007/s11306-011-0292-5

    Sample name

    Human tissues (liver)

    Kits

    CK14_2mL

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