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betaHMM

This is the released version of betaHMM; for the devel version, see betaHMM.

A Hidden Markov Model Approach for Identifying Differentially Methylated Sites and Regions for Beta-Valued DNA Methylation Data


Bioconductor version: Release (3.23)

A novel approach utilizing a homogeneous hidden Markov model. And effectively model untransformed beta values. To identify DMCs while considering the spatial. Correlation of the adjacent CpG sites.

Author: Koyel Majumdar [cre, aut] ORCID iD ORCID: 0000-0001-6469-488X , Romina Silva [aut], Antoinette Sabrina Perry [aut], Ronald William Watson [aut], Isobel Claire Gorley [aut] ORCID iD ORCID: 0000-0001-7713-681X , Thomas Brendan Murphy [aut] ORCID iD ORCID: 0000-0002-5668-7046 , Florence Jaffrezic [aut], Andrea Rau [aut] ORCID iD ORCID: 0000-0001-6469-488X

Maintainer: Koyel Majumdar <koyelmajumdar.phdresearch at gmail.com>

Citation (from within R, enter citation("betaHMM")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("betaHMM")

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("betaHMM")
betaHMM HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews BiomedicalInformatics, Coverage, DNAMethylation, DifferentialMethylation, GeneTarget, HiddenMarkovModel, ImmunoOncology, MethylationArray, Microarray, MultipleComparison, Sequencing, Software, Spatial
Version 1.8.0
In Bioconductor since BioC 3.19 (R-4.4) (2.5 years)
License GPL-3
Depends R (>= 4.3.0), SummarizedExperiment, S4Vectors, GenomicRanges
Imports stats, ggplot2, scales, methods, pROC, foreach, doParallel, parallel, cowplot, dplyr, tidyr, tidyselect, stringr, utils
System Requirements
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Suggests rmarkdown, knitr, testthat (>= 3.0.0), BiocStyle
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package betaHMM_1.8.0.tar.gz
Windows Binary (x86_64) betaHMM_1.8.0.zip
macOS Binary (big-sur-x86_64) betaHMM_1.8.0.tgz
macOS Binary (sonoma-arm64) betaHMM_1.8.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/betaHMM
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/betaHMM
Bioc Package Browser https://code.bioconductor.org/browse/betaHMM/
Package Short Url https://bioconductor.org/packages/betaHMM/
Package Downloads Report Download Stats