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Activity Number:
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396
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Type:
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Invited
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Date/Time:
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Wednesday, August 1, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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IMS
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| Abstract - #307746 |
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Title:
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Epigenomics: Some Statistical Applications
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Author(s):
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Rafael Irizarry*+
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Companies:
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Johns Hopkins Bloomberg School of Public Health
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Address:
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, Baltimore, MD, ,
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Keywords:
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epigenetics ; microarrays
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Abstract:
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The use of modern statistical methodology can substantially improve accuracy and precision of gene expression microarray measurements. Microarrays are now being used to measure diverse high genomic endpoints including epigentic marks. In this talk we will describe some of the issues arising in Epigenetic applications and how some of these are similar to expression applications and other are not. For example, we will demonstrate how feature intensities seem to follow additive background/multiplicative error models similar to those observed for expression data and also how similar probe sequence effect are seen. As for the differences, we will show how some of the assumption made in expression studies to normalize arrays (a step needed to enable across array comparisons) are no longer valid. We will briefly describe some of our current ideas to overcome the new issues.
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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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