This is the released version of REMP; for the devel version, see REMP.
Repetitive Element Methylation PredictionBioconductor version: Release (3.21)
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]
Maintainer: Yinan Zheng <y-zheng at northwestern.edu>
Citation (from within R, entercitation("REMP")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("REMP")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("REMP")
Details biocViews DNAMethylation, DataImport, DifferentialMethylation, Epigenetics, GenomeWideAssociation, MethylationArray, Microarray, MultiChannel, Preprocessing, QualityControl, Sequencing, Software, TwoChannel Version 1.32.1 In Bioconductor since BioC 3.5 (R-3.4) (8 years) License GPL-3 Depends R (>= 3.6), SummarizedExperiment(>= 1.1.6), minfi(>= 1.22.0) Imports readr, rtracklayer, graphics, stats, utils, methods, settings, BiocGenerics, S4Vectors, Biostrings, GenomicRanges, IRanges, GenomeInfoDb, BiocParallel, doParallel, parallel, foreach, caret, kernlab, ranger, BSgenome, AnnotationHub, org.Hs.eg.db, impute, iterators System Requirements URL https://github.com/YinanZheng/REMP Bug Reports https://github.com/YinanZheng/REMP/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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