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mist

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.

Installation

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

BiocManager::install("mist")

Details

MaintainerDaoyu Duan <dxd429@case.edu>
AuthorDaoyu Duan [aut, cre] (ORCID: <https://orcid.org/0000-0002-3147-2006>)
LicenseMIT + file LICENSE
URLhttps://https://github.com/dxd429/mist
Bug Reportshttps://https://github.com/dxd429/mist/issues
Downloads rank145
Source branchRELEASE_3_23
biocViewsDNAMethylation, DifferentialMethylation, Epigenetics, SingleCell, Software

Documentation

Download

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