YinanZheng/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.
Getting started
Browse package contents
Package details |
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| Bioconductor views | DNAMethylation DataImport DifferentialMethylation Epigenetics GenomeWideAssociation MethylationArray Microarray MultiChannel Preprocessing QualityControl Sequencing TwoChannel |
| Maintainer | |
| License | GPL-3 |
| Version | 1.21.1 |
| URL | https://github.com/YinanZheng/REMP |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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