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Activity Number:
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426
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Type:
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Contributed
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Date/Time:
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Wednesday, August 9, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #306918 |
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Title:
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On the Detection of DNA Copy Number Changes
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Author(s):
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Jie Chen*+ and Yu-Ping Wang
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Companies:
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University of Missouri-Kansas City and University of Missouri-Kansas City
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Address:
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Department of Mathematics and Statistics, Kansas City, MO, 64110-2481,
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Keywords:
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ACGH ; change point ; DNA copy number
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Abstract:
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Cancer development is usually associated with DNA copy number changes in the genome. DNA copy number changes correspond to chromosomal aberrations and signify abnormality of a cell. Therefore, identifying statistically significant DNA copy number changes is evidently crucial in cancer research, clinical diagnostic applications, and other related genomic research. We propose to use the mean and variance change point model to study the DNA copy number changes from the array comparative genomic hybridization (aCGH) profile. The approximate p-value of identifying a change point is derived. The procedure to detect all changes in the data is carried out using binary segmentation procedure (BSP). The proposed method has been validated by Monte-Carlo simulation and applications to aCGH profiles from several cell lines such as the fibroblast cancer cell line and breast tumor cell line.
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