Evaluation of pre-processing on the meta-analysis of DNA methylation data from the Illumina HumanMethylation450 BeadChip platform.

Claudia Sala Pietro Di LenaDanielle Fernandes DursoAndrea ProdiGastone CastellaniChristine Nardini

Published in: PloS one (2020)

The pre-processing of DNA methylation data affects both the between-sample variability and the loci identified as differentially methylated, and the effects of pre-processing are strongly dataset-dependent. By contrast, application of our renormalization algorithm regRCPqn: (i) reduces variability and (ii) increases agreement between meta-analysed datasets, both critical components of data harmonization.

Keyphrases

dna methylation
genome wide
electronic health record
systematic review
gene expression
magnetic resonance
machine learning
randomized controlled trial
magnetic resonance imaging
high throughput
deep learning
copy number
meta analyses
rna seq
genome wide association study