Machine learning-based tools to predict DNA methylation of locus-specific repetitive elements (RE) by learning surrounding genetic and epigenetic information. These tools provide genomewide and single-base resolution of DNA methylation prediction on RE that are difficult to measure using array-based or sequencing-based platforms, which enables epigenome-wide association study (EWAS) and differentially methylated region (DMR) analysis on RE.
|Bioconductor views||DNAMethylation DataImport DifferentialMethylation Epigenetics GenomeWideAssociation MethylationArray Microarray MultiChannel Preprocessing QualityControl Sequencing TwoChannel|
|Package repository||View on GitHub|
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