DOI: 10.18129/B9.bioc.BPRMeth    

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

Model higher-order methylation profiles

Bioconductor version: Development (3.7)

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 according to their methylation profiles.

Author: Chantriolnt-Andreas Kapourani [aut, cre]

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

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biocViews Bayesian, Clustering, Coverage, DNAMethylation, Epigenetics, FeatureExtraction, GeneExpression, GeneRegulation, Genetics, KEGG, RNASeq, Regression, Sequencing, SingleCell, Software
Version 1.5.21
In Bioconductor since BioC 3.4 (R-3.3) (1.5 years)
License GPL-3
Depends R (>= 3.4.0), 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
LinkingTo Rcpp, RcppArmadillo
Suggests testthat, knitr, rmarkdown, BiocStyle
Depends On Me
Imports Me
Suggests Me
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Source Package BPRMeth_1.5.21.tar.gz
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Package Short Url http://bioconductor.org/packages/BPRMeth/
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