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This is the development version of BPRMeth; for the stable release version, see BPRMeth.

Model higher-order methylation profiles

Bioconductor version: Development (3.20)

The BPRMeth package is a probabilistic method to quantify explicit features of methylation profiles, in a way that would make it easier to formally use such profiles in downstream modelling efforts, such as predicting gene expression levels or clustering genomic regions or cells according to their methylation profiles.

Author: Chantriolnt-Andreas Kapourani [aut, cre]

Maintainer: Chantriolnt-Andreas Kapourani <kapouranis.andreas at>

Citation (from within R, enter citation("BPRMeth")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

BPRMeth: Model higher-order methylation profiles HTML R Script
Reference Manual PDF


biocViews Bayesian, Clustering, Coverage, DNAMethylation, Epigenetics, FeatureExtraction, GeneExpression, GeneRegulation, Genetics, ImmunoOncology, KEGG, RNASeq, Regression, Sequencing, SingleCell, Software
Version 1.31.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)
License GPL-3 | file LICENSE
Depends R (>= 3.5.0), GenomicRanges
Imports assertthat, methods, MASS, doParallel, parallel, e1071, earth, foreach, randomForest, stats, IRanges, S4Vectors, data.table, graphics, truncnorm, mvtnorm, Rcpp (>= 0.12.14), matrixcalc, magrittr, kernlab, ggplot2, cowplot, BiocStyle
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Suggests testthat, knitr, rmarkdown
Linking To Rcpp, RcppArmadillo
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Follow Installation instructions to use this package in your R session.

Source Package BPRMeth_1.31.0.tar.gz
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macOS Binary (x86_64) BPRMeth_1.31.0.tgz
macOS Binary (arm64) BPRMeth_1.31.0.tgz
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