Mixed anova model analysis of microarray experiments with locally polled error
- UNCW Author/Contributor (non-UNCW co-authors, if there are any, appear on document)
- Yuan Liu (Creator)
- Institution
- The University of North Carolina Wilmington (UNCW )
- Web Site: http://library.uncw.edu/
Abstract: The determination of a list of di®erentially expressed genes is a basic objective
in many cDNA microarray experiments. Combining information across genes in the
statistical analysis of microarray data is desirable because of relatively small number
of data points obtained for each individual gene. Our LPE approach ¯nds a middle
ground between global F test and gene-speci¯c F test by pooling the information
across a group of genes that have similar variance estimates and shrinks the within-
gene variance estimate towards an estimate including more genes. This method
provides a powerful and robust approach to test di®erential expression of genes but
does not su®er from biases of the global F test and low power of gene-speci¯c F test.
In our approach the two-stage Mixed ANOVA model provides a conceptually and
computationally e±cient means to analyze the microarray data.
Mixed anova model analysis of microarray experiments with locally polled error
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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
- Gene expression -- Data processing
- Genomics -- Data processing
- Genomics -- Mathematical models