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Abstract Details
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Activity Number:
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112
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 1, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #302299 |
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Title:
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Robust and Reproducible Analysis of a Very Large Clinical Genomics Study
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Author(s):
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John Storey*+
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Companies:
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Princeton University
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Address:
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, , ,
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Keywords:
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microarrays ;
longitudinal gene expression ;
R scripts
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Abstract:
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Trauma is the number one killer of individuals 1-44 years old in the United States. The prognosis and treatment of inflammatory complications in critically injured patients remains a great challenge, with a history of failed clinical trials and poorly understood biology. Over the course of several years, we have carried out an analysis of a large-scale study on 168 blunt-force trauma patients over 28 days, measuring ~400 clinical variables and longitudinal gene expression with ~800 microarrays. I will describe our analysis approach, which is complex and involves steps carried out by several researchers. I will then describe a "reproducible research" suite of R scripts that we have developed, which allows one to rapidly and transparently reproduce all results. The scripts may also easily be adapted to modify choices that we have made throughout the analysis pipelines. This is joint work with Keyur Desai, Chuen Seng Tan, and the Inflammation and the Host Response to Injury research program.
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Authors who are presenting talks have a * after their name.
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