DOI: 10.18129/B9.bioc.Melissa    

This is the development version of Melissa; for the stable release version, see Melissa.

Bayesian clustering and imputationa of single cell methylomes

Bioconductor version: Development (3.15)

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 <kapouranis.andreas at>

Maintainer: <>

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


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biocViews Bayesian, Clustering, Coverage, DNAMethylation, Epigenetics, FeatureExtraction, GeneExpression, GeneRegulation, Genetics, ImmunoOncology, KEGG, RNASeq, Regression, Sequencing, SingleCell, Software
Version 1.11.0
In Bioconductor since BioC 3.9 (R-3.6) (2.5 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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