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A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data
Author(s) -
Andrew E. Teschendorff,
Francesco Marabita,
Matthias Lechner,
Thomas E. Bartlett,
Jesper Tegnér,
David Gómez-Cabrero,
Stephan Beck
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts680
Subject(s) - normalization (sociology) , dna methylation , preprocessor , computer science , computational biology , data mining , biology , genetics , artificial intelligence , gene , gene expression , sociology , anthropology
The Illumina Infinium 450 k DNA Methylation Beadchip is a prime candidate technology for Epigenome-Wide Association Studies (EWAS). However, a difficulty associated with these beadarrays is that probes come in two different designs, characterized by widely different DNA methylation distributions and dynamic range, which may bias downstream analyses. A key statistical issue is therefore how best to adjust for the two different probe designs.

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