This is the development version of mist; for the stable release version, see mist.
Differential Methylation Analysis for scDNAm DataBioconductor version: Development (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: 0000-0002-3147-2006
Maintainer: Daoyu Duan <dxd429 at case.edu>
Citation (from within R, entercitation("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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mist")Follow Installation instructions to use this package in your R session.
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