BMEA: Bayesian Modelling For Exon Array Data

Abstract

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.