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Activity Number:
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196
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #309303 |
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Title:
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Microarray Analysis: P-Values, Filtering, and Multiple Testing Adjustments
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Author(s):
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Ann Hess*+
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Companies:
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Colorado State University
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Address:
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Campus Delivery 1877, Fort Collins, CO, 80523,
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Keywords:
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microarrays ; multiple testing ; filtering
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Abstract:
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Microarrays allow scientists to examine the expression of thousands of genes simultaneously. With one or more hypotheses being tested for each gene, a multiple testing adjustment is certainly warranted. However, in some cases the distribution of p-values and large number of tests mean that only a few genes are found to be significant after applying a multiple testing adjustment. Filtering allows us to reduce the number of tests and possibly allow more genes to pass the multiple testing criteria. Here we provide examples of real p-values distributions resulting from microarray experiments and examine various criteria used for filtering.
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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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