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Activity Number:
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248
- Contributed Poster Presentations: ENAR
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Type:
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Contributed
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Date/Time:
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Monday, July 31, 2017 : 2:00 PM to 3:50 PM
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Sponsor:
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ENAR
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Abstract #324227
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Title:
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Differential Network Analysis Based on Next Generation Sequencing Data
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Author(s):
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Tyler Grimes* and Somnath Datta
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Companies:
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University of Florida and University of Florida
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Keywords:
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Genomic Association Network ;
Partial Least Squares ;
Empirical Bayes ;
RNA-Seq
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Abstract:
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Next-generation sequencing (NGS) allows for the full genome to be interrogated. The data produced by these technologies give us a window to uncover how genes interact with one another. Constructing genomic association networks is a major challenge with these genomic data. In this study, a cPLS-algorithm that combines partial least squares with negative binomial regression is suggested for obtaining association scores, which are then used for a differential network analysis. Performance of our procedure is studied through extensive simulation studies. We illustrate our approach using a dataset on mice palate development.
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Authors who are presenting talks have a * after their name.
