mist

This is the development version of mist; to use it, please install the devel version of Bioconductor.

Differential Methylation Analysis for scDNAm Data


Bioconductor version: Development (3.21)

mist (Methylation Inference for Single-cell along Trajectory) is a hierarchical Bayesian framework for modeling DNA methylation trajectories and performing differential methylation (DM) analysis in single-cell DNA methylation (scDNAm) data. It estimates developmental-stage-specific variations, identifies genomic features with drastic changes along pseudotime, and, for two phenotypic groups, detects features with distinct temporal methylation patterns. mist uses Gibbs sampling to estimate parameters for temporal changes and stage-specific variations.

Author: Daoyu Duan [aut, cre] (ORCID: )

Maintainer: Daoyu Duan <dxd429 at case.edu>

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

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("mist")

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("mist")
mist_vignette HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews DNAMethylation, DifferentialMethylation, Epigenetics, SingleCell, Software
Version 0.99.17
In Bioconductor since BioC 3.21 (R-4.5)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports BiocParallel, MCMCpack, Matrix, S4Vectors, methods, rtracklayer, car, mvtnorm, SummarizedExperiment, SingleCellExperiment, BiocGenerics, stats, rlang
System Requirements
URL https://https://github.com/dxd429/mist
Bug Reports https://https://github.com/dxd429/mist/issues
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Suggests knitr, rmarkdown, RUnit, ggplot2, BiocStyle
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Package Archives

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

Source Package mist_0.99.17.tar.gz
Windows Binary (x86_64) mist_0.99.17.zip
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/mist
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mist
Bioc Package Browser https://code.bioconductor.org/browse/mist/
Package Short Url https://bioconductor.org/packages/mist/
Package Downloads Report Download Stats