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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 |
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Author | Yinan 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 |
Maintainer | Yinan Zheng <y-zheng@northwestern.edu> |
License | GPL-3 |
Version | 1.14.0 |
URL | https://github.com/YinanZheng/REMP |
Package repository | View on Bioconductor |
Installation |
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