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Quality control for Illumina 450K methylation data in the absence of iDat files using correlation structure in pedigrees and repeated measures
BACKGROUND: An important feature in many genomic studies is quality control and normalization. This is particularly important when analyzing epigenetic data, where the process of obtaining measurements can be bias prone. The GAW20 data was from the Genetics of Lipid Lowering Drugs and Diet Network (...
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| Pubblicato in: | BMC Genet |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6156833/ https://ncbi.nlm.nih.gov/pubmed/30255766 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12863-018-0636-5 |
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