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Probe-level estimation improves the detection of differential splicing in Affymetrix exon array studies

The recent advent of exon microarrays has made it possible to reveal differences in alternative splicing events on a global scale. We introduce a novel statistical procedure that takes full advantage of the probe-level information on Affymetrix exon arrays when detecting differential splicing betwee...

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Detalles Bibliográficos
Autores principales: Laajala, Essi, Aittokallio, Tero, Lahesmaa, Riitta, Elo, Laura L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2728531/
https://www.ncbi.nlm.nih.gov/pubmed/19607685
http://dx.doi.org/10.1186/gb-2009-10-7-r77
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author Laajala, Essi
Aittokallio, Tero
Lahesmaa, Riitta
Elo, Laura L
author_facet Laajala, Essi
Aittokallio, Tero
Lahesmaa, Riitta
Elo, Laura L
author_sort Laajala, Essi
collection PubMed
description The recent advent of exon microarrays has made it possible to reveal differences in alternative splicing events on a global scale. We introduce a novel statistical procedure that takes full advantage of the probe-level information on Affymetrix exon arrays when detecting differential splicing between sample groups. In comparison to existing ranking methods, the procedure shows superior reproducibility and accuracy in distinguishing true biological findings from background noise in high agreement with experimental validations.
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spelling pubmed-27285312009-08-18 Probe-level estimation improves the detection of differential splicing in Affymetrix exon array studies Laajala, Essi Aittokallio, Tero Lahesmaa, Riitta Elo, Laura L Genome Biol Method The recent advent of exon microarrays has made it possible to reveal differences in alternative splicing events on a global scale. We introduce a novel statistical procedure that takes full advantage of the probe-level information on Affymetrix exon arrays when detecting differential splicing between sample groups. In comparison to existing ranking methods, the procedure shows superior reproducibility and accuracy in distinguishing true biological findings from background noise in high agreement with experimental validations. BioMed Central 2009 2009-07-16 /pmc/articles/PMC2728531/ /pubmed/19607685 http://dx.doi.org/10.1186/gb-2009-10-7-r77 Text en Copyright © 2009 Laajala et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Laajala, Essi
Aittokallio, Tero
Lahesmaa, Riitta
Elo, Laura L
Probe-level estimation improves the detection of differential splicing in Affymetrix exon array studies
title Probe-level estimation improves the detection of differential splicing in Affymetrix exon array studies
title_full Probe-level estimation improves the detection of differential splicing in Affymetrix exon array studies
title_fullStr Probe-level estimation improves the detection of differential splicing in Affymetrix exon array studies
title_full_unstemmed Probe-level estimation improves the detection of differential splicing in Affymetrix exon array studies
title_short Probe-level estimation improves the detection of differential splicing in Affymetrix exon array studies
title_sort probe-level estimation improves the detection of differential splicing in affymetrix exon array studies
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2728531/
https://www.ncbi.nlm.nih.gov/pubmed/19607685
http://dx.doi.org/10.1186/gb-2009-10-7-r77
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