文摘
英文文摘
资助
ACKNOWLEDGMENTS
Chapter 1 INTRODUCTION
1.1 The utilization of microarray
1.2 The importance of statistical methods for gene expression data
1.3 Objective of this research
Chapter 2 LITERRATURE REVIEW
2.1 The development of microarray technology
2.1.1 Biological background on microarray technology
2.1.2 Microarray systems
2.2 Procedures in cDNA Microarray technology
2.3 Design of studies using Microarray
2.3.1 Objectives of DNA microarray studies
2.3.2 Variation source and replication level of Microarray
2.3.3 Experimental design of Microarray
2.4 Statistical methods of microarray data analysis
2.4.1 Normalization
2.4.2 Identifying different expressed genes
2.4.3 Dimension reducing
2.4.4 Cluster and classification
2.5 Application of microarray technology
Chapter 3 METHODS FOR MICROARRAY DATA ANALYSIS
3.1 Introduction
3.2 Models and Methodology
3.2.1 t-test method
3.2.2 Wolfinger's method
3.2.3 Mixed linear model approach
3.3 Simulation
3.3.1 Experimental design
3.3.2 Generating gene expression data
3.3.3 Efficiency of identification of differentially expressed genes
3.3.4 Efficiency of predicting random effects and estimating fixed effects
3.4 Simulation Results
3.4.1 Effects of identification of differential expressed genes
3.4.2 Efficiencies of predicting random effects and estimating fixed effects
3.5 Discussion
Chapter 4 A CONDITIONAL VARIABLE APPROACH T O ANALYZE DYNAMIC GENE EXPRESSION DATA
4.1 Introduction
4.2 Models and Methodology
4.3 Simulation
4.3.1 Experimental design
4.3.2 Generating gene expression data
4.3.3 Constructing new variable
4.3.4 Comparison of conditional variable approach with difference approach
4.4 Simulation Results
4.4.1 Efficiencies of identification of differentially expressed genes
4.4.2 Efficiencies of predicting random effects and estimating fixed effects
4.5 Discussion
Chapter5WORKEDEXAMPLEOFMICROARRAYDATAANALYSISFORCANCERCELLLINETREATEDBYMEDICAMENT
5.1 Description of data set
5.2 Analysis for data of single cell line and single treatment by mixed model approach
5.3Comparingthreemethodsforanalysisdataofmultiplecelllinesandtreatments
5.4 Conditional analysis with two time point data of multiple cell lines and treatments
5.5 Discussion
SUMMARY
REFERENCES
