Linked Life Data

17069514

Source:http://linkedlifedata.com/resource/pubmed/id/17069514

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2006-10-30
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1536-2310
pubmed:author
pubmed:issnType
Print
pubmed:volume
10
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
369-80
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Improving identification of differentially expressed genes by integrative analysis of Affymetrix and Illumina arrays.
pubmed:affiliation
Department of Mathematics, University of Turku, Turku, Finland. laliel@utu.fi
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't