andreaskapou/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.

Getting started

Package details

Bioconductor views Bayesian Clustering Coverage DNAMethylation Epigenetics FeatureExtraction GeneExpression GeneRegulation Genetics ImmunoOncology KEGG RNASeq Regression Sequencing SingleCell
Maintainer
LicenseGPL-3 | file LICENSE
Version1.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("andreaskapou/Melissa")
andreaskapou/Melissa documentation built on June 23, 2019, 10:37 a.m.