A1 Refereed original research article in a scientific journal
Probe-level estimation improves the detection of differential splicing in Affymetrix exon array studies
Authors: Laajala E, Aittokallio T, Lahesmaa R, Elo LL
Publisher: BIOMED CENTRAL LTD
Publication year: 2009
Journal: Genome Biology
Journal name in source: GENOME BIOLOGY
Journal acronym: GENOME BIOL
Article number: ARTN R77
Volume: 10
Issue: 7
Number of pages: 12
ISSN: 1474-760X
DOI: https://doi.org/10.1186/gb-2009-10-7-r77
Web address : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2728531/pdf/gb-2009-10-7-r77.pdf
Abstract
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.
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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