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Article

Identifying mislabeled and contaminated DNA methylation microarray data: an extended quality control toolset with examples from GEO.

Clinical epigenetics - 1 Jan 2018

Heiss Jonathan A, Just Allan C

Abstract excerpt

Background: Mislabeled, contaminated or poorly performing samples can threaten power in methylation microarray analyses or even result in spurious associations. We describe a set of quality checks for the popular Illumina 450K and EPIC microarrays to identify problematic samples and demonstrate their application in publicly available datasets. Methods: Quality checks implemented here include 17 control metrics...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 29881472
DOI: 10.1186/s13148-018-0504-1
PMCID: PMC5984806

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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