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Activity Number:
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406
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #305482 |
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Title:
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Distinguishing Copy Number Variants from Cancer-Related Alterations
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Author(s):
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Adam B. Olshen*+ and Irina Ostrovnaya
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Companies:
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Memorial Sloan-Kettering Cancer Center and Memorial Sloan-Kettering Cancer Center
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Address:
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307 East 63rd Street, New York, NY, 10065,
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Keywords:
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CNV ; copy number ; TCGA
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Abstract:
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Gains or losses of copy number in cancer samples are usually caused by either germ line copy number variants or cancer-related alterations. The biological implications of these two types of events are not the same, so some method is needed for distinguishing between them. The problem is that the data from copy number arrays for the two may appear to be similar. We use data from The Cancer Genome Atlas, which has separate paired tumor and normal samples, to develop tree-based classifiers for distinguishing between the two. Our models can be utilized when there is no paired data. It can also be used to mine copy number databases for variants that are predictive of cancer.
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