This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 487
Type: Invited
Date/Time: Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract - #306252
Title: Understanding Immune Response with mRNA-SEQ Gene Expression Data
Author(s): Ann Oberg*+ and Diane Grill and Brian Bot and Yan Asmann and Gregory Poland and Terry Therneau
Companies: Mayo Clinic and Mayo Clinic and Mayo Clinic and Mayo Clinic and Mayo Clinic and Mayo Clinic
Address: 200 First Street, SW, Rochester, MN, 55905, USA
Keywords: next generation sequencing ; immune response ; Poisson regression ; gene expression

The amount of information generated by high-dimensional biological assays continues to increase; the current set of "next generation" sequencing platforms is the latest iteration. These large data sets offer increasing opportunity for biological insight, provided we develop integrative methods to analyze and interpret the masses of data produced. We will describe our experience analyzing mRNA-SEQ (Solexa) gene expression data to understand pathways of immunological response to vaccine stimulus. We evaluate modeling strategies including Poisson and Negative Binomial regression, need for over-dispersion parameter and impact of blocking factors. Methods, data, and results will be demonstrated.

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