Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/23260
Title: | Detecting Locus-Locus Interactions Using Microarray Data |
Authors: | Gao, YanFei |
Advisor: | Canty, Angelo |
Department: | Statistics |
Keywords: | locus-locus;microarray;microarray data |
Publication Date: | Apr-2006 |
Abstract: | In this report we explore how to find the locus-locus interaction using microarray data. Our analysis makes use of a dataset from an experiment with Affymetrix GeneChip MGU74Av2 for mice. In Chapter 1 we give the genetics background, an introduction to microarray methodology and the preprocessing of microarray data, and a review of SAM (Significance Analysis of Microarrays) method for finding differentially expressed genes in microarray data. In Chapter 2 we describe our dataset and our objective of finding the genes with locus-locus interaction but with no main effect. We also show how to find the interaction in this chapter. In Chapter 3 we show the simulation study of detecting the locus-locus interaction without main effects and propose a two-stage method of doing that. In Chapter 4 we apply the two-stage method to the microarray data and focus on the second stage analysis. In Chapter 5 we examine an alternative method using bootstrap resampling in place of permutations. Chapter 6 contains our conclusion and some suggestions for future research. |
URI: | http://hdl.handle.net/11375/23260 |
Appears in Collections: | Digitized Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
gao_yanfei_2006Apr_masters.pdf.pdf | 1.96 MB | Adobe PDF | View/Open |
Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.