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Activity Number:
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497
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 2, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #310172 |
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Title:
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Log-Linear Models for Gene and Network Interactions
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Author(s):
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Valen Johnson*+ and Jianhua Hu
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Companies:
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The University of Texas M.D. Anderson Cancer Center and The University of Texas M.D. Anderson Cancer Center
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Address:
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Biostatistics and Applied Mathematics, Houston, TX, ,
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Keywords:
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Bayesian model selection ; gene interactions ; network analysis ; log-linear model
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Abstract:
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We describe a Bayesian approach to the analysis of gene and network interaction data based on log-linear models. The goal of our approach is inference regarding causal connections among genes and functional pathways, and is based on a Bayesian model selection algorithm applied to data that has been reduced to ordered categories using ranks of observations within both subjects and genes or network components.
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