Analyzing the Long-Term Cellular Effects of an Environmental Toxin Using Short Time Series Microarray Data

• Activity Number: 137
• Type: Contributed
• Date/Time: Monday, July 30, 2012 : 8:30 AM to 10:20 AM
• Sponsor: Section on Statistics and the Environment
• Author(s): Darlene Olsen*+ and Karen Hinkle
• Companies: Norwich University and Norwich University
• Keywords: gene expression ; microarry ; time series ; lampricide

Abstract

Time course microarray experiments capture expression levels over time to examine the dynamic interaction of gene expression. Often in temporal microarray experiments, there are a limited number of time points taken resulting in short time series data. This talk will give an overview of some techniques, such as STEM and maSigFun, used to analyze differentially expressed genes in short time series microarray data. In particular, this talk will focus on these statistical models used to analyze temporal gene expression variation resulting when yeast (Saccharomyces cerevisiae) cells are exposed to 3-trifluoromethyl-4-nitrophenol (TFM), an environmental lampricide utilized frequently in the Great Lakes and Lake Champlain basins.