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Activity Number:
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372
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #304378 |
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Title:
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Testing Multiple Hypotheses on a Gene Ontology Graph
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Author(s):
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Kun Liang*+ and Dan Nettleton
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Companies:
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Iowa State University and Iowa State University
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Address:
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, , IA, 50010,
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Keywords:
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Differential expression ; Directed acyclic graph ; Gene enrichment analysis ; Hidden Markov model ; Microarray ; Multiple testing
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Abstract:
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This talk discusses the problem of testing multiple Gene Ontology terms using multivariate gene set testing methods. There are logical relationships among hypotheses that are induced by the subset relationships among terms. Sequential testing methods have recently been proposed to solve the problem, but they suffer from low power. We proposed a hidden Markov model to compute the posterior probability of differential expression for each term and use its Bayesian interpretation to estimate the false discovery rate. Simulation results show that our method is much more powerful than the existing methods and can be used to obtain accurate estimates of the false discovery rate.
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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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