Abstract Details
Activity Number:
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186
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Type:
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Contributed
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Date/Time:
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Monday, August 4, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract #313272
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Title:
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Visualizing a Large Number of Regression Models Fitted to RNA-Sequencing Data
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Author(s):
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Yanming Di*+
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Companies:
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Oregon State University
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Keywords:
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RNA-Seq ;
visualization ;
model uncertainly ;
negative binomial regression
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Abstract:
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The negative binomial (NB) distribution and NB regression models have been shown to be useful for modeling frequencies of mapped RNA-Seq reads from complex experiments. In practice, one often fits tens of thousands of regression models simultaneously-one model to each gene-when analyzing an RNA-Seq data set. We discuss how one can effectively visualize a large number of regression models fitted to RNA-Seq data. In particular, we discuss how to visualize the uncertainty in the fitted models.
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Authors who are presenting talks have a * after their name.
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