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  • Higher-level Analysis of RNA-Seq Experiment: Multiple Data Sets and Multiple Genes

    Creator:
    Zhuo, Bin
    Abstract:
    Differential expression (DE) analysis is a key task in gene expression study, because it uncovers the association between expression levels of a gene and the covariates of interest. This dissertation pertains to two particular aspects of DE analysis—identifying stably expressed genes for count normalization and accounting for correlation between DE...
    Resource Type:
    Dissertation
    Full Text:
    -likelihood model, where the data are not required to be Gaussian. Our method e↵ectively adjusts for

  • Statistical analysis of RNA sequencing count data

    Creator:
    Mi, Gu
    Abstract:
    RNA-Sequencing (RNA-Seq) has rapidly become the de facto technique in transcriptome studies. However, established statistical methods for analyzing experimental and observational microarray studies need to be revised or completely re-invented to accommodate RNA-Seq data's unique characteristics. In this dissertation, we focus on statistical analyses performed at two particular stages in...
    Resource Type:
    Dissertation
    Full Text:
    method. ©Copyright by Gu Mi June 10, 2014 All Rights Reserved Statistical Analysis of RNA