Search Constraints

Start Over
Filtering by: Contributor advisor sim Di, Yanming Remove constraint Contributor advisor sim: Di, Yanming

Search Results

  • Model-based Clustering Methods in Exploratory Analysis of RNA-Seq Experiments

    Creator:
    Zhang, Wanli
    Abstract:
    Differential expression (DE) analysis allows us to identify genes that respond differently under varying experimental conditions, therefore granting us an understanding of the molecular basis of phenotypic variation. Following the identification of significantly differentially expressed genes, it is often of the researcher's interest to elucidate hidden patterns or groups in...
    Resource Type:
    Dissertation

  • 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

  • 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