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Activity Number:
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93
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 12, 2002 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Computing*
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| Abstract - #300197 |
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Title:
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Statistical Design and Analysis for Gene Expression Microarrays
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Author(s):
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Gary Churchill*+
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Affiliation(s):
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The Jackson Laboratory
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Address:
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600 Main Street, Bar Harbor, Maine, 04609,
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Keywords:
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Abstract:
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Gene expression microarrays are an innovative technology with enormous promise to reveal the function of genes in normal and diseased tissues. Although the potential of this technology has been clearly demonstrated, many important and interesting statistical questions persist. The problem of making relative comparisons among large numbers of samples using heterogeneous experimental conditions is not new. Indeed, there is a history of 100 years of research in agricultural experimentation which is relevant and can be applied to the problem of designing microarray experiments. We advocate greater attention to experimental design issues and a more prominent role for the ideas of statistical inference in microarray studies. It is our premise that good bioinformatics begins before one goes to the bench. Experiments that are well-designed can be used to answer not only the questions they were specifically designed to address, they can also be "mined" for useful information not anticipated in the original experiment. Sound statistical design is crucial to ensure that these goals can be achieved.
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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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