REMP: Repetitive Element Methylation Prediction

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.

Package details

AuthorYinan Zheng [aut, cre], Lei Liu [aut], Wei Zhang [aut], Warren Kibbe [aut], Lifang Hou [aut, cph]
Bioconductor views DNAMethylation DataImport DifferentialMethylation Epigenetics GenomeWideAssociation MethylationArray Microarray MultiChannel Preprocessing QualityControl Sequencing TwoChannel
MaintainerYinan Zheng <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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REMP documentation built on Nov. 8, 2020, 8:05 p.m.