Browse All

Theses & Dissertations

Submissions

  • Submissions (Articles, Chapters, and other finished products)

Simmons, Susan

UNCW

There are 6 item/s.

TitleDateViewsBrief Description
Data mining cDNA microarray experiment with a GEE approach 2009 492 The use of microarray technology provides access to the simultaneous expression of thousands of genes and is revolutionizing the scienti c community of functional genomics. This thesis investigates a cDNA microarray experiment with the goal of dis...
Bayesian hierarchical regression model to detect quantitative trait loci 2009 748 Detecting genetic loci responsible for variation in quantitative traits is a problem of great importance to biologists. The location on a genetic map responsible for a quantitative trait is referred to as Quantitative Trait Loci, or QTL. This thesi...
Metabolomics 2009 1483 Metabolomics is the newest of the “-omics” sciences showing great potential in identifying biomarkers for drug discovery. Since Metabolomics is a relatively new science there are a few issues that have not been investigated to a great extent. As ad...
Analysis of a hierarchial Bayesian method for quantitative trait loci 2009 535 Simulations were performed to compare two methods that detect quantitative trait loci on plant data. Karl Broman’s interval mapping algorithm which uses only one observation value per plant line was compared to a hierarchical Bayesian model that al...
Time series forecasting competition among three sophisticated paradigms 2009 3702 This paper is focused on assessing the performance of three kinds of forecasting paradigms: Dynamic Linear Models (DLM), Artificial Neural Networks (ANNs) and Autoregressive Integrated Moving Average models (ARIMA) in time series forecasting. We cont...
QTL detection from stochastic process by Bayesian hierarchial regression model 2009 542 The problem of identifying the genetic loci contributing to variation in a quantitative trait (called QTL) has been researched for a number of years, and is a growing eld in statistical genetics[10]. Most research focuses on the problem with only ...