Melissa: Bayesian clustering and imputationa of single cell methylomes

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.

Package details

AuthorC. A. Kapourani [aut, cre]
Bioconductor views Bayesian Clustering Coverage DNAMethylation Epigenetics FeatureExtraction GeneExpression GeneRegulation Genetics ImmunoOncology KEGG RNASeq Regression Sequencing SingleCell
MaintainerC. A. Kapourani <>
LicenseGPL-3 | file LICENSE
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


Try the Melissa package in your browser

Any scripts or data that you put into this service are public.

Melissa documentation built on Nov. 8, 2020, 5:37 p.m.