DOI: 10.18129/B9.bioc.Melissa  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see Melissa.

Bayesian clustering and imputationa of single cell methylomes

Bioconductor version: 3.17

Melissa is a Baysian probabilistic model for jointly clustering and imputing single cell methylomes. This is done by taking into account local correlations via a Generalised Linear Model approach and global similarities using a mixture modelling approach.

Author: C. A. Kapourani [aut, cre]

Maintainer: C. A. Kapourani <kapouranis.andreas at>

Citation (from within R, enter citation("Melissa")):


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HTML R Script 1: Process and filter scBS-seq data
HTML R Script 2: Cluster and impute scBS-seq data using Melissa
PDF   Reference Manual
Text   NEWS


biocViews Bayesian, Clustering, Coverage, DNAMethylation, Epigenetics, FeatureExtraction, GeneExpression, GeneRegulation, Genetics, ImmunoOncology, KEGG, RNASeq, Regression, Sequencing, SingleCell, Software
Version 1.16.0
In Bioconductor since BioC 3.9 (R-3.6) (4.5 years)
License GPL-3 | file LICENSE
Depends R (>= 3.5.0), BPRMeth, GenomicRanges
Imports data.table, parallel, ROCR, matrixcalc, mclust, ggplot2, doParallel, foreach, MCMCpack, cowplot, magrittr, mvtnorm, truncnorm, assertthat, BiocStyle, stats, utils
Suggests testthat, knitr, rmarkdown
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