BPRMeth
This is the released version of BPRMeth; for the devel version, see BPRMeth.
Model higher-order methylation profiles
Bioconductor version: Release (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 gmail.com>
citation("BPRMeth")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BPRMeth")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BPRMeth")| BPRMeth: Model higher-order methylation profiles | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | Bayesian, Clustering, Coverage, DNAMethylation, Epigenetics, FeatureExtraction, GeneExpression, GeneRegulation, Genetics, ImmunoOncology, KEGG, RNASeq, Regression, Sequencing, SingleCell, Software |
| Version | 1.32.0 |
| In Bioconductor since | BioC 3.4 (R-3.3) (8 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 |
| System Requirements | |
| URL |
See More
| Suggests | testthat, knitr, rmarkdown |
| Linking To | Rcpp, RcppArmadillo |
| Enhances | |
| Depends On Me | Melissa |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | BPRMeth_1.32.0.tar.gz |
| Windows Binary (x86_64) | BPRMeth_1.32.0.zip |
| macOS Binary (x86_64) | BPRMeth_1.32.0.tgz |
| macOS Binary (arm64) | BPRMeth_1.32.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/BPRMeth |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/BPRMeth |
| Bioc Package Browser | https://code.bioconductor.org/browse/BPRMeth/ |
| Package Short Url | https://bioconductor.org/packages/BPRMeth/ |
| Package Downloads Report | Download Stats |