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Variability and Data Transformation for Gene Expression, Proteomics, and Metabolomics Data
Student-Run Research| Speaker: | David Rocke, UC Davis |
| Location: | 2112 MSB |
| Start time: | Wed, Mar 1 2006, 12:10PM |
Description
Biologists now have the capacity to measure thousands of compounds
simultaneously from a single biological sample using gene expression
arrays, mass spectrometry, NMR spectroscopy or other methods. These
methods can be used to measure mRNA transcripts, proteins, short
peptides, 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.
Refreshments Provided.