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Abstract Details
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Activity Number:
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437
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Type:
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Invited
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Date/Time:
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Wednesday, August 1, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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ENAR
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| Abstract - #303863 |
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Title:
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The Cancer Genome Atlas (TCGA): An Introduction for Statisticians
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Author(s):
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Laila Poisson*+ and Ronglai Shen
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Companies:
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Henry Ford Health Systems and Memorial Sloan-Kettering Cancer Center
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Address:
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Department of Public Health Sciences, Detroit, ,
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Keywords:
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cancer ;
high-throughput data ;
public data resource ;
sequence data ;
genomics
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Abstract:
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This talk will introduce The Cancer Genome Atlas (TCGA) - a growing data resource sponsored by the NCI and the NHGRI - from the statistician's perspective. The TCGA project goal is to improve diagnosis, treatment and prevention of cancer. To that end they are collecting 500 tumor samples from each of twenty-five cancer types and analyzing them on multiple molecular high-throughput platforms, including sequencing. With much of the clinical and molecular data publicly available at three levels of pre-processing this resource is useful to applied and methodological statisticians alike. Available data types, data access, quick queries, and associated packaged analysis software will be described.
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