Data mining cDNA microarray experiment with a GEE approach

UNCW Author/Contributor (non-UNCW co-authors, if there are any, appear on document)
Meng Wu (Creator)
The University of North Carolina Wilmington (UNCW )
Web Site:
Susan Simmons

Abstract: 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 discovering di erentially expressed genes across several factors. The analysis rst "normalizes" the data through the VSN package which is a robust calibration and variance stabilization software that removes systematic bias which could impair the analysis. A generalized estimating equation (GEE) approach is used to model the data and investigate the null hypothesis of no di erence in expression levels. To accommodate the numerous hypothesis being tested, we used the q-value method to control the false discovery rate of the analysis. The analytical procedures are performed by using the statistical software packages SAS r and R.

Additional Information

A Thesis Submitted to the University of North Carolina at Wilmington in Partial Ful llment Of the Requirements for the Degree of Master of Arts
Language: English
Date: 2009
Gene expression--Data processing, Genomics--Data processing, Genomics--Mathematical models
Genomics -- Data processing
Genomics -- Mathematical models
Gene expression -- Data processing