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Activity Number:
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245
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #309020 |
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Title:
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Mining ChIP Data for Transcription Factor Binding Sites by the Addition of Background Sequences
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Author(s):
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Yu Liang*+ and Leping Li
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Companies:
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National Institute of Environmental Health Sciences and National Institute of Environmental Health Sciences
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Address:
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111 T W Alexander Drive, Research Triangle Park, NC, 27709,
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Keywords:
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Transcriptional factor binding sites ; Position weight matrices ; False selection rate ; ChIP experiments
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Abstract:
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Identifying the true transcriptional factor binding sites is a essential step for understanding the gene regulation. In this paper, we proposed a new approach to identify transcriptional factor binding sites in ChIP datasets when the number of sequences with motif is unknown. Our method is designed to control the false selection rate (FSR), defined as the proportion of sequences without motifs included in the selected sequence sets, in the meantime optimize the PWM. To characterize the performance of our method, we added a known number of background sequences to the real ChIP dataset. A motif discovery procedure is applied to the mixed dataset. The PWM is updated through monitoring the proportion of background sequences falsely selected.
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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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