BMEA: Bayesian Modelling For Exon Array Data

The development of Affymetrix Exon Arrays was a signifcant step forward from 3' Microarray technology, however detection of alternate splicing events proved challenging. In this work a novel method, Bayesian Modelling for Exon Arrays (BMEA), is described which shows an improvement in performance over previous approaches, and fits a more appropriate model for each gene using an MCMC process. Applying BMEA to an in-house dataset contrasting resting and stimulated Treg and Th cells, shed signifcant new light into key mechanisms involved in regulation of the T cell activation response.

Author dc:creator

• Pederson, Stephen Martin

Advisors dc:contributor.advisor

• Barry, Simon
• Glonek, Gary

• Microarray
• bioinformatics
• Bayesian statistics
• regulatory T cells

Language dc:language.iso

en

Handle dc:identifier.uri

http://hdl.handle.net/2440/117912

OAI identifier oai:identifier

oai:digital.library.adelaide.edu.au:2440/117912