Treballs Fi de GrauBioquímica i Biotecnologia

Development of cholesterol and triglycerides prediction models in plasma samples based on 1H-RMN spectra

  • Identification data

    Identifier:  TFG:6967
    Handle: https://hdl.handle.net/20.500.11797/TFG6967
    Authors:  Gasco Agorreta, Mireia
    Abstract:
    This work shows the development and evaluation of two models based on the partial minimum quadrats method for the prediction of cholesterol and triglyceride concentrations in plasma samples analyzed by MRI. After clarifying the data, they will be divided into two groups, for the calibration and validation of the two prediction models. It is van fer proven to have different calibration parameters. With some of the best configurations in each case, it is necessary to select the models manually to obtain the best possible results.

  • Others:

    Access rights: info:eu-repo/semantics/openAccess
    Education area(s): Biotecnologia
    Department: Bioquímica i Biotecnologia
    Entity: Universitat Rovira i Virgili (URV)
    Confidenciality: No
    Subject: Bioinformàtica
    Project director: Cordero Otero, Ricardo
    Work's public defense date: 2023-06-21
    Creation date in repository: 2024-03-13
    Language: cat
    Academic year: 2022-2023
    Student: Gasco Agorreta, Mireia

  • Keywords:

    cardiovascular disease
    nuclear magnetic ressonance
    metabolomics
    Biochemistry and biotechnology

  • Documents:

    Memòria

  • Cerca a google

    Search to google scholar