137 – Population and Health
Analyzing the Long-Term Cellular Effects of an Environmental Toxin Using Short Time Series Microarray Data
Karen Hinkle
Norwich University
Darlene Olsen
Norwich University
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.
