Abstract Details
Activity Number:
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127
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Type:
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Contributed
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Date/Time:
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Monday, August 5, 2013 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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Abstract - #308568 |
Title:
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Identifying Regulatory Regions in Drosophila
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Author(s):
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Jennifer Tom*+
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Companies:
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UC Berkeley
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Keywords:
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Bayesian hierarchical model ;
Naive Bayes classifier ;
ChIP-chip ;
Drosophila ;
cis-regulatory modules
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Abstract:
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The development of a single fertilized egg into an adult fly is governed by gene expression. The timing and location of gene expression is in turn regulated by cis-regulatory modules (CRMs). Identifying these CRMs is key to understanding the process of development. I present a multivariate Bayesian hierarchical model followed by a Naive Bayes classifier to identify potential CRMs relying on ChIP-chip scores from 21 different transcription factors in Drosophila. Fifty potential regulatory regions identified by this classification scheme will be tested by the Berkeley Drosophila Transcription Network Project.
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Authors who are presenting talks have a * after their name.
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