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
Browse package contents
Package details |
|
|---|---|
| Bioconductor views | Bayesian Clustering Coverage DNAMethylation Epigenetics FeatureExtraction GeneExpression GeneRegulation Genetics ImmunoOncology KEGG RNASeq Regression Sequencing SingleCell |
| Maintainer | |
| License | GPL-3 | file LICENSE |
| Version | 1.5.3 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
