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    Application of the Cox Proportional Hazards Model for the Quantitative Analysis of LC-MS Proteomics Data 

    Arreola, Ivan; Han, David (The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 5The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 5, 2019)
    Along with quantitative, analytical genomics, proteomics continues to be a growing field for determining the gene and cellular functions at the protein level. As the liquid chromatography mass spectrometryphy (LC-MS) ...

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    AuthorArreola, Ivan (1)
    Han, David (1)
    Department
    Management Science and Statistics (1)
    Subject
    Accelerated Failure Time Model (1)
    Cox Proportional Hazards Model (1)Liquid Chromatography Mass Spectrometry Proteomics (1)Survival Analysis (1)
    Type I Diabetes Mellitus (1)
    ... View MoreDate Issued2019 (1)Has File(s)Yes (1)

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