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Activity Number:
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454
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Type:
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Invited
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Date/Time:
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Wednesday, August 9, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Education
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| Abstract - #304887 |
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Title:
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Analyzing DNA Microarrays with Undergraduate Statisticians
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Author(s):
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Johanna Hardin*+ and Laura Hoopes and Ryan Murphy
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Companies:
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Pomona College and Pomona College and Pomona College
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Address:
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Department of Mathematics, Claremont, CA, 91711,
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Keywords:
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microarray analysis ; biostatistics ; undergraduate research projects
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Abstract:
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With advances in technology, biologists have been saddled with high-dimensional data that need modern statistical methodology for analysis. DNA microarrays are able to measure thousands of genes (and their activity) simultaneously in a single sample. Biologists use microarrays to trace connections between pathways or to identify all genes that respond to a signal. The statistical tools we usually teach our undergrads are inadequate for analyzing thousands of measurements on tens of samples. The project materials include readings on microarrays and computer lab activities. The topics covered include image analysis, filtering and normalization techniques, and statistical methods. The course materials are designed for someone with little or no statistical background, but due to the novel concepts covered, they could be adjusted to accommodate practically any background.
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