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Improving identification of differentially expressed genes by integrative analysis of Affymetrix and Illumina arrays
Department of Mathematics, University of Turku, Turku, Finland; Turku Centre for Biotechnology, Turku, Finland.
Turku Centre for Biotechnology, Turku, Finland.
Turku Centre for Biotechnology, Turku, Finland.
Turku Centre for Biotechnology, Turku, Finland; VTT Biotechnology, Espoo, Finland.ORCID iD: 0000-0002-2856-9165
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2006 (English)In: Omics, ISSN 1536-2310, E-ISSN 1557-8100, Vol. 10, no 3, p. 369-380Article in journal (Refereed) Published
Abstract [en]

Together with the widely used Affymetrix microarrays, the recently introduced Illumina platform has become a cost-effective alternative for genome-wide studies. To efficiently use data from both array platforms, there is a pressing need for methods that allow systematic integration of multiple datasets, especially when the number of samples is small. To address these needs, we introduce a meta-analytic procedure for combining Affymetrix and Illumina data in the context of detecting differentially expressed genes between the platforms. We first investigate the effect of different expression change estimation procedures within the platforms on the agreement of the most differentially expressed genes. Using the best estimation methods, we then show the benefits of the integrative analysis in producing reproducible results across bootstrap samples. In particular, we demonstrate its biological relevance in identifying small but consistent changes during T helper 2 cell differentiation.

Place, publisher, year, edition, pages
Mary Ann Liebert, 2006. Vol. 10, no 3, p. 369-380
National Category
Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:oru:diva-70900DOI: 10.1089/omi.2006.10.369ISI: 000241666200009PubMedID: 17069514Scopus ID: 2-s2.0-33750933836OAI: oai:DiVA.org:oru-70900DiVA, id: diva2:1345897
Available from: 2019-08-26 Created: 2019-08-26 Last updated: 2019-09-05Bibliographically approved

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Oresic, Matej

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  • apa
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  • Other locale
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