{"id":{"repo_id":"adelaide","oai_identifier":"oai:digital.library.adelaide.edu.au:2440/117912"},"canonical_url":"https://search.dev.ndltd.org/etd/adelaide/oai:digital.library.adelaide.edu.au:2440/117912","repository":{"repo_id":"adelaide","name":"University of Adelaide","base_url":"https://digital.library.adelaide.edu.au/server/oai/request"},"display":{"title":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Pederson, Stephen Martin"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Barry, Simon","Glonek, Gary"],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018","date_published":"2018","updated_at":"2026-07-24T00:50:56Z","subjects":["Microarray","bioinformatics","Bayesian statistics","regulatory T cells"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2440/117912","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Barry, Simon","Glonek, Gary"]},{"key":"dc:creator","label":"Author","values":["Pederson, Stephen Martin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.issued","label":"Date","values":["2018"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Microarray","bioinformatics","Bayesian statistics","regulatory T cells"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/2440/117912"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:title","label":"Title","values":["BMEA: Bayesian Modelling For Exon Array Data"]}]}],"canonical_facts":{"dc:contributor.advisor":["Barry, Simon","Glonek, Gary"],"dc:creator":["Pederson, Stephen Martin"],"dc:date.issued":["2018"],"dc:description.abstract":["The development of Affymetrix Exon Arrays was a signifcant step forward from 3' Microarray technology, however detection of alternate splicing events proved challenging. 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