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.
|Author||Yinan Zheng [aut, cre], Lei Liu [aut], Wei Zhang [aut], Warren Kibbe [aut], Lifang Hou [aut, cph]|
|Bioconductor views||Alignment DNAMethylation DataImport DifferentialMethylation Epigenetics GenePrediction MethylationArray Microarray MultiChannel Normalization Preprocessing QualityControl Sequencing TwoChannel|
|Date of publication||2018-08-12|
|Maintainer||Yinan Zheng <[email protected]>|
|Package repository||View on Bioconductor|
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