Activity Number:
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394
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Type:
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Invited
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Date/Time:
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Thursday, August 15, 2002 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Quality & Productivity*
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Abstract - #300354 |
Title:
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A Variance-Stabilizing Transformation for Gene-Expression Microarray Data
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Author(s):
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Blythe Durbin*+ and Johanna Hardin and Douglas Hawkins and David Rocke
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Affiliation(s):
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University of California, Davis and Fred Hutchinson Cancer Research Center and University of Minnesota and University of California, Davis
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Address:
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801 North Campus Way, Davis, California, 95616,
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Keywords:
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cDNA array ; microarray ; transformation ; normalization ; variance stabilization
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Abstract:
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Standard statistical techniques often assume that data are normally distributed, with constant variance not depending on the mean of the data. Data that violate these assumptions can often be brought in line with the assumptions by application of a transformation. Gene-expression microarray data have a complicated error structure, with a variance that changes with the mean in a non-linear fashion. Log transformations, which are often applied to microarray data, can inflate the variance of observations near background. We introduce a transformation that stabilizes the variance of microarray data across the full range of expression. Simulation studies also sugggest that this transformation approximately symmetrizes microarray data.
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