This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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445
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Type:
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Invited
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Date/Time:
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Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Consulting
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Abstract - #308720 |
Title:
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A Bayesian Approach for Array CGH Segmentation to Assess Chromosomal Aberrations via Gibbs Sampling
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Author(s):
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Jingjing Ye*+ and Qiuyan Xu
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Companies:
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Pfizer Inc. and Travelers Insurance
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Address:
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10903 New Hampshire Ave, Silver Spring, MD, 20993,
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Keywords:
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segmentation ;
copy number variation ;
breakpoint ;
Gliobalstoma Multiforme ;
Gibbs sampling
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Abstract:
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Many diseases, including cancer, are driven in whole or part by DNA copy number aberrations. The identification of aberrant regions is important to aid the medical and therapeutic research. A Bayesian model called Bayesian Segmentation Method (BSM) is proposed. The model jointly estimates locations of breakpoints, mean log2 intensity ratio and standard deviation of each segment. Significance of each segment is derived based on posterior distributions. Methods for selecting number of segments are demonstrated and compared. Using simulation data in Lai et al. (2005), BSM is compared with a number of methods including those concluded to be good in Lai et al. (2005) and a couple of new methods proposed after the paper. BSM is shown to be one of the best methods under different aspects. BSM is then applied to Glioblastoma Multiforme (GBM) from Bredel et al. (2005) for demonstration.
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