Abstract

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.

Degree

MS

College and Department

Physical and Mathematical Sciences; Statistics

Rights

http://lib.byu.edu/about/copyright/

Date Submitted

2006-11-20

Document Type

Selected Project

Handle

http://hdl.lib.byu.edu/1877/etd1604

Keywords

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

Share

COinS