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|Title:||Gene Filtering in the Analysis of Illumina Microarray Experiments||Authors:||Forcheh, Anyiawung Chiara
Goehlmann, Hinrich W. H.
|Issue Date:||2012||Publisher:||WALTER DE GRUYTER & CO||Source:||STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY, 11 (2)||Abstract:||Illumina bead arrays are microarrays that contain a random number of technical replicates (beads) for every probe (bead type) within the same array. Typically around 30 beads are placed at random positions on the array surface, which opens unique opportunities for quality control. Most preprocessing methods for Illumina bead arrays are ported from the Affymetrix microarray platform and ignore the availability of the technical replicates. The large number of beads for a particular bead type on the same array, however, should be highly correlated, otherwise they just measure noise and can be removed from the downstream analysis. Hence, filtering bead types can be considered as an important step of the preprocessing procedure for Illumina platform. This paper proposes a filtering method for Illumina bead arrays, which builds upon the mixed model framework. Bead types are called informative/non-informative (I/NI) based on a trade-off between within and between array variabilities. The method is illustrated on a publicly available Illumina Spike-in data set (Dunning et al., 2008) and we also show that filtering results in a more powerful analysis of differentially expressed genes.||Notes:||[Forcheh, Anyiawung Chiara; Verbeke, Geert; Lin, Dan; Shkedy, Ziv; Clement, Lieven] Katholieke Univ Leuven, Louvain, Belgium. [Lin, Dan; Shkedy, Ziv] Univ Hasselt, Interuniv Inst Biostat & Stat Bioinformat, Hasselt, Belgium. [Kasim, Adetayo] Univ Durham, Wolfson Res Inst, Durham DH1 3HP, England. [Talloen, Willem] Janssen Pharmaceut NV, Beerse, Belgium.||Keywords:||Biochemistry & Molecular Biology; Statistics & Probability; illumina bead arrays; gene filtering; linear mixed model;illumina bead arrays; gene filtering; linear mixed model||Document URI:||http://hdl.handle.net/1942/13845||ISSN:||2194-6302||e-ISSN:||1544-6115||DOI:||10.2202/1544-6115.1710||ISI #:||000305579300003||Category:||A1||Type:||Journal Contribution||Validations:||ecoom 2013|
|Appears in Collections:||Research publications|
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