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.

README.md Cluster and impute scBS-seq data using Melissa Process and filter scBS-seq data

Vignettes Man pages API and functions Files

Package details
Author	C. A. Kapourani [aut, cre]
Bioconductor views	Bayesian Clustering Coverage DNAMethylation Epigenetics FeatureExtraction GeneExpression GeneRegulation Genetics ImmunoOncology KEGG RNASeq Regression Sequencing SingleCell
Maintainer	C. A. Kapourani <kapouranis.andreas@gmail.com>
License	GPL-3 \| file LICENSE
Version	1.6.0
Package repository	View on Bioconductor
Installation	Install the latest version of this package by entering the following in R: `if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("Melissa")`