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Abstract Details
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Activity Number:
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220
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 1, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Consulting
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| Abstract - #302485 |
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Title:
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Annotation: Biological Meaning from Statistical Genomics
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Author(s):
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David Rocke*+
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Companies:
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University of California at Davis
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Address:
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Division of Biostatistics, Davis, CA, 95616,
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Keywords:
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consulting ;
annotation ;
genomics ;
biology
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Abstract:
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The result of the statistical analysis of gene expression data, proteomics data, or metabolomics data is often a list of gene, proteins, or metabolites that differ significantly. These lists can be difficult for biologists to interpret, and are insufficient for publication of results in major journals. There are now many tools that can be used to explore the biological properties of lists of molecules, and for effective collaboration, statisticians need to be able to use these tools and to understand the results biologically and statistically. In this presentation, I discuss several of these tools and how to use them most effectively in statistical consulting. Illustrations are drawn from radiation biology and cancer therapy.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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