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Department of Statistics, The Ohio State University
Statistics and Biostatistics Colloquium Series
Measurement Errors and Data Transformation for Gene Expression Data, Proteomics and Metabolomics Data
Professor David M. Rocke
Department of Applied Science (College of Engineering),
Division of Biostatistics (School of Medicine),
and Center for Image Processing and Integrated Computing
University of California, Davis
3:30PM - Tuesday, February 25th, 2003
Room 170, Eighteenth Avenue Bldg. (EA 170)
ABSTRACT
Gene expression microarrays comprise a suite of related technologies for measuring the expression of thousands of genes simultaneously from a single biological sample. There are also numerous other high-throughput biological assays that can measure large numbers of proteins, lipids, and other biologically active compounds. In this talk, I will describe an important statistical challenge in the use of such data. Using raw data, logarithms, or ratios, the variability of the measurements is strongly dependent on the level of expression, causing a failure of the assumptions of most standard methods of statistical analysis. We present a solution to this problem via a specially tuned data transformation and show how it promotes the effectiveness of simple and sophisticated analyses of the data.
Meet the speaker in Room 212 Cockins Hall at 4:30 p.m. Refreshments will be served.
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