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Activity Number:
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450
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Type:
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Invited
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Date/Time:
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Wednesday, August 9, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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ENAR
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| Abstract - #305164 |
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Title:
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A Statistics Method for Array CGH Analysis
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Author(s):
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Pei Wang*+
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Companies:
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Fred Hutchinson Cancer Research Center
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Address:
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1100 Fairview Ave., N., Seattle , WA, 98109,
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Keywords:
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array CGH ; FDR
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Abstract:
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Array CGH is a powerful technique for genomic studies of cancer. It enables one to carry out genome-wide screening for regions of genetic alterations, such as chromosome gains and losses, or localized amplifications and deletions. In this paper, we propose a new algorithm---cluster along chromosomes (CLAC)---for the analysis of array CGH data. CLAC builds hierarchical clustering-style trees along each chromosome arm (or chromosome), then selects the 'interesting' clusters by controlling the False Discovery Rate (FDR) at a certain level. In addition, it provides a consensus summary across a set of arrays and an estimate of the corresponding FDR. We illustrate the method using an application of CLAC on a lung cancer microarray CGH dataset and a BAC array CGH dataset of aneuploid cell strains.
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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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