Quality control for Illumina 450K methylation data in the absence of iDat files using correlation structure in pedigrees and repeated measures

Quality control for Illumina 450K methylation data in the absence of iDat files using correlation structure in pedigrees and repeated measures

Abstract 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 N...

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Bibliographic Details
Main Authors: Marissa LeBlanc, Haakon E. Nustad, Manuela Zucknick, Christian M. Page
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BMC Genetics
Subjects:
Data integration
Mediation analysis
Indirect effect
Online Access:http://link.springer.com/article/10.1186/s12863-018-0636-5

Internet

http://link.springer.com/article/10.1186/s12863-018-0636-5

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