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Activity Number:
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242
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Type:
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Contributed
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Date/Time:
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Tuesday, August 5, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #301056 |
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Title:
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Locating DNA Copy Number Changes by Using a Statistical Change Point Model
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Author(s):
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Paul Plummer*+
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Companies:
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University of Missouri-Kansas City
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Address:
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Department of Mathematics and Statistics, 206 Haag Hall, UMKC, Kansas City, MO, 64110-2499,
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Keywords:
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DNA copy number ; change point ; hypothesis testing ; asymptotic distribution ; aCGH profiles
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Abstract:
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The importance of DNA copy number changes in the study of cancer cell development is well documented. In this study the statistical mean change point model with variance known is used to determine the location of copy number changes in microarray comparative genomic hybridization (aCGH) profiles. The p-value is calculated using the asymptotic null distribution of a likelihood ratio based test statistic. The approach is applied to fifteen fibroblast cancer cell lines and two breast tumor cell lines. The application results indicate that the proposed approach is effective for identifying copy number changes (break points). The drawbacks of applying a single change point model with binary segmentation to a data set with multiple change points are also discussed.
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