A Comparison of Microarray Analyses: A Mixed Models Approach Versus the Significance Analysis of Microarrays

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.

Name thesis:degree_name

MS

Grantor dc:publisher

Brigham Young University - Provo

Author dc:creator

• Stephens, Nathan Wallace

• 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
• Statistics and Probability

Language dc:language

English

Repository record dc:identifier

https://scholarsarchive.byu.edu/etd/1115

OAI identifier oai:identifier

oai:scholarsarchive.byu.edu:etd-2114