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mist

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

All Bioconductor versions of mist

3.24 (devel), 3.23 (release), 3.22, 3.21

Differential Methylation Analysis for scDNAm Data

Bioconductor version: 3.23 · Package version: 1.4.0

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 iD ORCID: 0000-0002-3147-2006

Maintainer: Daoyu Duan <dxd429 at case.edu>

DOI: 10.18129/B9.bioc.mist

Citation

From within R, enter citation("mist"):

Daoyu Duan. mist: Differential Methylation Analysis for scDNAm Data. doi:10.18129/B9.bioc.mist, R package version 1.4.0, https://bioconductor.org/packages/mist.

Generated from the package metadata; it may differ from the package's own citation.

Installation

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

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

BiocManager::install("mist")

For older versions of R, please refer to the appropriate Bioconductor release.

Details

Version1.4.0
LicenseMIT + file LICENSE
URLhttps://https://github.com/dxd429/mist
Bug Reportshttps://https://github.com/dxd429/mist/issues
Last updated2026-04-28
In Bioconductor sinceBioC 3.21 (R-4.5) (1 year)
Downloads rank2188 of 2,418
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsDNAMethylation, DifferentialMethylation, Epigenetics, SingleCell, Software
Package Short Url https://bioconductor.org/packages/mist/

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("mist")
mist:methylation inference for single-cell along trajectory HTML R Script
Reference ManualPDF
NEWSText

Download

Follow the installation instructions to use this package in your R session.

Source packagemist_1.4.0.tar.gz
Windows binary (x86_64)mist_1.4.0.zip
macOS binary (arm64)mist_1.4.0.tgz
macOS binary (x86_64)mist_1.4.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/mist
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/mist
Package Downloads ReportDownload Stats
Dependencies

Depends: R (>= 4.5.0)

Imports: BiocParallel, MCMCpack, Matrix, S4Vectors, methods, rtracklayer, car, mvtnorm, SummarizedExperiment, SingleCellExperiment, BiocGenerics, stats, rlang

Suggests: knitr, rmarkdown, RUnit, ggplot2, BiocStyle