oru.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
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
Visa övriga samt affilieringar
2006 (Engelska)Ingår i: Omics, ISSN 1536-2310, E-ISSN 1557-8100, Vol. 10, nr 3, s. 369-380Artikel i tidskrift (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
Mary Ann Liebert, 2006. Vol. 10, nr 3, s. 369-380
Nationell ämneskategori
Bioinformatik och systembiologi
Identifikatorer
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
Tillgänglig från: 2019-08-26 Skapad: 2019-08-26 Senast uppdaterad: 2019-09-05Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextPubMedScopus

Personposter BETA

Oresic, Matej

Sök vidare i DiVA

Av författaren/redaktören
Oresic, Matej
I samma tidskrift
Omics
Bioinformatik och systembiologi

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetricpoäng

doi
pubmed
urn-nbn
Totalt: 26 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf