mist
This is the released version of mist; for the devel version, see mist.
Differential Methylation Analysis for scDNAm Data
Bioconductor version: Release (3.22)
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>
citation("mist")):
Installation
To install this package, start R (version "4.5") 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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mist")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.