Visualizing a Large Number of Regression Models Fitted to RNA-Sequencing Data

• Activity Number: 186
• Type: Contributed
• Date/Time: Monday, August 4, 2014 : 10:30 AM to 12:20 PM
• Sponsor: Biometrics Section
• Author(s): Yanming Di*+
• Companies: Oregon State University
• Keywords: RNA-Seq ; visualization ; model uncertainly ; negative binomial regression

Abstract

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.