Melissa

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

Bayesian clustering and imputationa of single cell methylomes

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DOI: 10.18129/B9.bioc.Melissa

Bioconductor version: Development (3.23)

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 [aut, cre]

Maintainer: C. A. Kapourani <kapouranis.andreas at gmail.com>

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

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("Melissa")

For older versions of R, please refer to the appropriate Bioconductor release.