A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data
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Title
A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data
Authors
Keywords
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Journal
BIOINFORMATICS
Volume 29, Issue 2, Pages 189-196
Publisher
Oxford University Press (OUP)
Online
2012-11-23
DOI
10.1093/bioinformatics/bts680
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Related references
Note: Only part of the references are listed.- IMA: an R package for high-throughput analysis of Illumina's 450K Infinium methylation data
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- SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips
- (2012) Jovana Maksimovic et al. GENOME BIOLOGY
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- Transcriptome-guided characterization of genomic rearrangements in a breast cancer cell line
- (2009) Qi Zhao et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Genome-wide DNA methylation profiling using Infinium®assay
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- Model-based clustering of DNA methylation array data: a recursive-partitioning algorithm for high-dimensional data arising as a mixture of beta distributions
- (2008) E Andres Houseman et al. BMC BIOINFORMATICS
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