This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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189
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Type:
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Invited
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Date/Time:
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Monday, August 2, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract - #306478 |
Title:
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Joint Modeling of Epigenetic Data, Transcription Factor Binding Data, and Expression Data
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Author(s):
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Guanghua Xiao*+
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Companies:
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UT Southwestern Medical Center
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Address:
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5323 Harry Hines Blvd, Dallas, TX, 75390,
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Keywords:
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integrative analysis ;
epigenetic data ;
drug addiction ;
bayesian modeling
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Abstract:
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A large amount of genome-wide molecular profiling data has been accumulated on mRNA expression, histone modification, DNA methylation and transcription factor (TF) binding to study drug addiction. In this study, we develop a novel statistical model to joint model multiple molecular profiling data for detection of important genes associated with cocaine addiction. Here, data from ChIP-chip experiments include genome-wide DNA methylation, histone modification, TF binding data with cocaine exposure and with saline treatment. Expression data will include mRNA expression datasets with and without cocaine treatment. A Bayesian hierarchical model, combined with a logistic regression model for multiple-level responses, is used to integrate information from the multiple data sources available. Both simulation studies and real data examples show the good performance of the proposed model.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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