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http://hdl.handle.net/1942/24238
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DC Field | Value | Language |
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dc.contributor.author | VAN MOERBEKE, Marijke | - |
dc.contributor.author | KASIM, Adetayo | - |
dc.contributor.author | TALLOEN, Willem | - |
dc.contributor.author | Reumers, Joke | - |
dc.contributor.author | Gohlmann, Hinrick W. H. | - |
dc.contributor.author | SHKEDY, Ziv | - |
dc.date.accessioned | 2017-08-17T12:22:32Z | - |
dc.date.available | 2017-08-17T12:22:32Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | BMC BIOINFORMATICS, 18, p. 1-14 (Art N° 273) | - |
dc.identifier.issn | 1471-2105 | - |
dc.identifier.uri | http://hdl.handle.net/1942/24238 | - |
dc.description.abstract | Background: Alternative gene splicing is a common phenomenon in which a single gene gives rise to multiple transcript isoforms. The process is strictly guided and involves a multitude of proteins and regulatory complexes. Unfortunately, aberrant splicing events do occur which have been linked to genetic disorders, such as several types of cancer and neurodegenerative diseases (Fan et al., Theor Biol Med Model 3: 19, 2006). Therefore, understanding the mechanism of alternative splicing and identifying the difference in splicing events between diseased and healthy tissue is crucial in biomedical research with the potential of applications in personalized medicine as well as in drug development. Results: We propose a linear mixed model, Random Effects for the Identification of Differential Splicing (REIDS), for the identification of alternative splicing events. Based on a set of scores, an exon score and an array score, a decision regarding alternative splicing can be made. The model enables the ability to distinguish a differential expressed gene from a differential spliced exon. The proposed model was applied to three case studies concerning both exon and HTA arrays. Conclusion: The REIDS model provides a work flow for the identification of alternative splicing events relying on the established linear mixed model. The model can be applied to different types of arrays. | - |
dc.description.sponsorship | We thank the Flemish Government and the University of Hasselt for the BOF scholarship funding the research of M. V. M. | - |
dc.language.iso | en | - |
dc.publisher | BIOMED CENTRAL LTD | - |
dc.rights | © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. | - |
dc.subject.other | exon arrays, HTA arrays, alternative splicing, mixed effects models | - |
dc.subject.other | Exon arrays; HTA arrays; Alternative splicing; Mixed effects models | - |
dc.title | A random effects model for the identification of differential splicing (REIDS) using exon and HTA arrays | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 14 | - |
dc.identifier.spage | 1 | - |
dc.identifier.volume | 18 | - |
local.format.pages | 14 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | [Van Moerbeke, Marijke; Shkedy, Ziv] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, B-3500 Hasselt, Belgium. [Kasim, Adetayo] Univ Durham, Wolfson Res Inst Hlth & Wellbeing, Durham, England. [Talloen, Willem; Reumers, Joke; Gohlmann, Hinrick W. H.] Janssen Pharmaceut, B-2340 Beerse, Belgium. | - |
local.publisher.place | LONDON | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 273 | - |
local.class | dsPublValOverrule/author_version_not_expected | - |
dc.identifier.doi | 10.1186/s12859-017-1687-8 | - |
dc.identifier.isi | 000402096100003 | - |
item.contributor | VAN MOERBEKE, Marijke | - |
item.contributor | KASIM, Adetayo | - |
item.contributor | TALLOEN, Willem | - |
item.contributor | Reumers, Joke | - |
item.contributor | Gohlmann, Hinrick W. H. | - |
item.contributor | SHKEDY, Ziv | - |
item.validation | ecoom 2018 | - |
item.fulltext | With Fulltext | - |
item.accessRights | Open Access | - |
item.fullcitation | VAN MOERBEKE, Marijke; KASIM, Adetayo; TALLOEN, Willem; Reumers, Joke; Gohlmann, Hinrick W. H. & SHKEDY, Ziv (2017) A random effects model for the identification of differential splicing (REIDS) using exon and HTA arrays. In: BMC BIOINFORMATICS, 18, p. 1-14 (Art N° 273). | - |
crisitem.journal.issn | 1471-2105 | - |
crisitem.journal.eissn | 1471-2105 | - |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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van moerbeke 1.pdf | Published version | 2.17 MB | Adobe PDF | View/Open |
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