Date of Award
2009
Degree Type
Report
Degree Name
Master of Science (MS)
Department
Mathematics and Statistics
Committee Chair(s)
John R. Stevens
Committee
John R. Stevens
Abstract
A brief introduction of microarray technology and its uses is given. This technology is commonly used in agricultural research, including research in nuclear transfer, which motivated this study. There are 3 classes of statistical models compared: probeset-level, weighted probeset-level and probe-level.
Different statistical mod els are compared on 3 spike-in experiments to assess the relative performance in identifying differentially expressed genes . A novel nested factorial model was found to outperform all other models compared in this study in one spike-in experiment, and was found to be competitive in its performance relative to the other models on the other spike-in experiments.
Relative performance of the models compared in this study is discussed, as well as relative computation times for each model.
Recommended Citation
Bell, Jason L., "Probe-Level Statistical Models for Differential Expression of Genes in Bovine NT Studies" (2009). All Graduate Plan B and other Reports, Spring 1920 to Spring 2023. 1256.
https://digitalcommons.usu.edu/gradreports/1256
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