Computationally intensive statistical methods for analysis of gene expression data
In recent years, gene expression experiments have become increasingly common in molecular biology and biomedical research. Utilizing high density array technologies, researchers are now able to simultaneously measure the expression of thousands of genes in one or more samples. Typically, array experiments are performed for a sample of subjects (e.g. patients, cells, mice) drawn from a population of interest. Because the number of genes studied far exceeds the number of samples, statistical rigor is particularly important in this setting, and new statistical methods are needed for appropriate and accurate data analysis
Thesis, Dissertation, English, 2003