vmrseq
This is the released version of vmrseq; for the devel version, see vmrseq.
Probabilistic Modeling of Single-cell Methylation Heterogeneity
Bioconductor version: Release (3.21)
High-throughput single-cell measurements of DNA methylation allows studying inter-cellular epigenetic heterogeneity, but this task faces the challenges of sparsity and noise. We present vmrseq, a statistical method that overcomes these challenges and identifies variably methylated regions accurately and robustly.
Author: Ning Shen [aut, cre]
Maintainer: Ning Shen <ning.shen.wk at gmail.com>
citation("vmrseq")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("vmrseq")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | DNAMethylation, Epigenetics, ImmunoOncology, Sequencing, SingleCell, Software, WholeGenome |
Version | 1.0.0 |
In Bioconductor since | BioC 3.21 (R-4.5) (< 6 months) |
License | MIT + file LICENSE |
Depends | R (>= 4.5.0) |
Imports | bumphunter, dplyr, BiocParallel, DelayedArray, GenomicRanges, ggplot2, methods, tidyr, locfit, gamlss.dist, recommenderlab, HDF5Array, data.table, SummarizedExperiment, IRanges, S4Vectors |
System Requirements | |
URL | https://github.com/nshen7/vmrseq |
Bug Reports | https://github.com/nshen7/vmrseq/issues |
See More
Suggests | knitr, rmarkdown, testthat (>= 3.0.0) |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary (x86_64) | vmrseq_1.0.0.zip |
macOS Binary (x86_64) | vmrseq_1.0.0.tgz |
macOS Binary (arm64) | vmrseq_1.0.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/vmrseq |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/vmrseq |
Bioc Package Browser | https://code.bioconductor.org/browse/vmrseq/ |
Package Short Url | https://bioconductor.org/packages/vmrseq/ |
Package Downloads Report | Download Stats |