This is the development version of Melissa; for the stable release version, see Melissa.
Bayesian clustering and imputationa of single cell methylomesBioconductor version: Development (3.22)
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, entercitation("Melissa")
): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Melissa")
Details biocViews Bayesian, Clustering, Coverage, DNAMethylation, Epigenetics, FeatureExtraction, GeneExpression, GeneRegulation, Genetics, ImmunoOncology, KEGG, RNASeq, Regression, Sequencing, SingleCell, Software Version 1.25.0 In Bioconductor since BioC 3.9 (R-3.6) (6 years) License GPL-3 | file LICENSE Depends R (>= 3.5.0), BPRMeth, GenomicRanges Imports data.table, parallel, ROCR, matrixcalc, mclust, ggplot2, doParallel, foreach, MCMCpack, cowplot, magrittr, mvtnorm, truncnorm, assertthat, BiocStyle, stats, utils System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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