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    Comparison of Regression Methods to Identify Differential Expression in RNA-Sequencing Count Data from the Serial Analysis of Gene Expression 

    Arreola, Ivan; Han, David (The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 5, 2019)
    Comparative RNA-sequencing analysis for the Serial Analysis of Gene Expression (SAGE) can help identify changes in gene expression which are characteristic to human diseases. Since the RNA-sequencing experiment measures ...
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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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    Author
    Arreola, Ivan (2)
    Han, David (2)
    DepartmentManagement Science and Statistics (2)SubjectAccelerated Failure Time Model (1)Conway-Maxwell-Poisson Regression (1)Cox Proportional Hazards Model (1)Generalized Linear Models (1)Liquid Chromatography Mass Spectrometry Proteomics (1)RNA-Sequencing (1)Serial Analysis of Gene Expression (1)Survival Analysis (1)Type I Diabetes Mellitus (1)... View MoreDate Issued
    2019 (2)
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    Yes (2)

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