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Abstract Details

Activity Number: 437
Type: Invited
Date/Time: Wednesday, August 1, 2012 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract - #303863
Title: The Cancer Genome Atlas (TCGA): An Introduction for Statisticians
Author(s): Laila Poisson*+ and Ronglai Shen
Companies: Henry Ford Health Systems and Memorial Sloan-Kettering Cancer Center
Address: Department of Public Health Sciences, Detroit, ,
Keywords: cancer ; high-throughput data ; public data resource ; sequence data ; genomics

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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