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)
- Institution
- The University of North Carolina Wilmington (UNCW )
- Web Site: http://library.uncw.edu/
- Advisor
- 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.
Data mining cDNA microarray experiment with a GEE approach
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Created on 1/1/2009
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Additional Information
- Publication
- Thesis
- 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
- Keywords
- Gene expression--Data processing, Genomics--Data processing, Genomics--Mathematical models
- Subjects
- Genomics -- Data processing
- Genomics -- Mathematical models
- Gene expression -- Data processing