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Comparison of pre-processing methods for Infinium HumanMethylation450 BeadChip array
Author(s) -
Yu-Jia Shiah,
Michael Fraser,
Robert G. Bristow,
Paul C. Boutros
Publication year - 2017
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/btx372
Subject(s) - replicate , computer science , sample (material) , dna methylation , computational biology , data mining , biology , genetics , statistics , mathematics , gene , gene expression , chemistry , chromatography
Microarrays are widely used to quantify DNA methylation because they are economical, require only small quantities of input DNA and focus on well-characterized regions of the genome. However, pre-processing of methylation microarray data is challenging because of confounding factors that include background fluorescence, dye bias and the impact of germline polymorphisms. Therefore, we present valuable insights and a framework for those seeking the most optimal pre-processing method through a data-driven approach.

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