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

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 thei...

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Detalles Bibliográficos
Autores principales: Heiss, Jonathan A., Just, Allan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984806/
https://www.ncbi.nlm.nih.gov/pubmed/29881472
http://dx.doi.org/10.1186/s13148-018-0504-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984806/
https://www.ncbi.nlm.nih.gov/pubmed/29881472
http://dx.doi.org/10.1186/s13148-018-0504-1

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