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Activity Number:
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486
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Type:
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Contributed
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Date/Time:
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Thursday, August 7, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #302313 |
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Title:
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A Bayesian Change-Point Algorithm for the Analysis of SNP Data
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Author(s):
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Fridtjof Thomas*+ and Stanley B. Pounds
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Companies:
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The University of Tennessee Health Science Center and St. Jude Children's Research Hospital
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Address:
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, Memphis, TN, 38105,
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Keywords:
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microarrays ; SNP ; genomics ; copy number alteration ; change-point ; Bayesian
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Abstract:
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High-resolution genomics data in the form of single nucleotide polymorphism (SNP) arrays can be used in a paired data context to compare cancer tissue to normal samples in an effort to identify regions of genomic amplification or deletion. Such regions potentially contain oncogenes or tumor suppressor genes and are therefore of particular interest. We apply here a Bayesian change-point algorithm to pre-normalized signals from SNP microarrays obtained from a set of leukemia samples in an effort to infer regions of copy number alteration. This algorithm detects multiple change-points where a change can be in the mean of the subsequent measurements, in their variance, in their autocorrelation structure, or in a combination of two or all of these aspects.
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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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