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Activity Number:
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506
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #309901 |
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Title:
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Basal Gene Expression for Affymetrix Microarray and Its Application in Cancer Microarray Data Mining
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Author(s):
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Hui-Rong Qian*+
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Companies:
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Eli Lilly and Company
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Address:
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Lilly Corporate Center, Indianapolis, IN, 46285,
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Keywords:
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basal gene expression ; microarray ; Affymetrix ; data mining
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Abstract:
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Microarray measures the expression abundance of thousands of genes simultaneously. While in a microarray study the primary goal is usually to identify differentially expressed genes upon biological treatments, basal gene expression, or whether a gene is expressed and how strong a signal is, is equally important but less well studied. Affymetrix GeneChip is one of the widely used microarray platforms. The assessment of basal gene expression in GeneChips is perplexed by the application of perfect match and mismatch oligos and the use of multiple oligo pairs to represent a gene. We propose a method utilizing the well-established mixed model to assess the basal gene expression in Affymetrix microarray. We apply this approach in a public cancer microarray dataset and identify genes of biological interest in cancer research. We also discuss related issues in microarray data mining.
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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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