DNA microarrays are a relatively new technology for assessing the expression levels of thousands of genes simultaneously. Researchers hope to find genes that are differentially expressed by hybridizing cDNA from known treatment sources with various genes spotted on the microarrays. The large number of tests involved in analyzing microarrays has raised new questions in multiple testing. Several approaches for identifying differentially expressed genes have been proposed. This paper considers two: (1) a mixed models approach, and (2) the Signiffcance Analysis of Microarrays.
College and Department
Physical and Mathematical Sciences; Statistics
BYU ScholarsArchive Citation
Stephens, Nathan Wallace, "A Comparison of Microarray Analyses: A Mixed Models Approach Versus the Significance Analysis of Microarrays" (2006). All Theses and Dissertations. 1115.
Microarray, Significance Analysis of Microarrays, Mixed Models, Multiple Testing, Statistics, Bioconductor, Resampling, Normalization, Miss Rate, Tail Strength, False Discovery Rate, FDR, pFDR, BYU, SAS, SAMR, SAM, SMA, LPS, KNNImpute, FWER