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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...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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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. |
format | Text |
id | pubmed-2728531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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