Package: mist 0.99.18
mist: Differential Methylation Analysis for scDNAm Data
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.
Authors:
mist_0.99.18.tar.gz
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mist_0.99.18.tgz(r-4.5-any)mist_0.99.18.tgz(r-4.4-any)
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mist.pdf |mist.html✨
mist/json (API)
NEWS
# Install 'mist' in R: |
install.packages('mist', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dxd429/mist/issues
On BioConductor:mist-0.99.18(bioc 3.21)
epigeneticsdifferentialmethylationdnamethylationsinglecellsoftware
Last updated 2 months agofrom:85e7fb65fa. Checks:1 OK, 6 WARNING. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 24 2025 |
R-4.5-win | WARNING | Mar 24 2025 |
R-4.5-mac | WARNING | Mar 24 2025 |
R-4.5-linux | WARNING | Mar 24 2025 |
R-4.4-win | WARNING | Mar 24 2025 |
R-4.4-mac | WARNING | Mar 24 2025 |
R-4.4-linux | WARNING | Mar 24 2025 |
Exports:dmSingledmTwoGroupsestiParamplotGene
Dependencies:abindaskpassbackportsBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitopsbootbroomcarcarDataclicodacodetoolscolorspacecowplotcpp11crayoncurlDelayedArrayDerivdoBydplyrfansifarverformatRFormulafutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangesggplot2gluegtablehttrIRangesisobandjsonlitelabelinglambda.rlatticelifecyclelme4magrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmcmcMCMCpackmgcvmicrobenchmarkmimeminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRCurlRdpackreformulasrestfulrRhtslibrjsonrlangRsamtoolsrtracklayerS4ArraysS4VectorsscalesSingleCellExperimentsnowSparseArraySparseMstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrXMLXVectoryaml