Package: Melissa
Type: Package
Title: Bayesian clustering and imputationa of single cell methylomes
Version: 1.26.0
Authors@R: person("C. A.", "Kapourani", email = "kapouranis.andreas@gmail.com",
                  role = c("aut", "cre"))
Description: 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.
Depends: R (>= 3.5.0), BPRMeth, GenomicRanges
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: data.table, parallel, ROCR, matrixcalc, mclust, ggplot2,
        doParallel, foreach, MCMCpack, cowplot, magrittr, mvtnorm,
        truncnorm, assertthat, BiocStyle, stats, utils
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
biocViews: ImmunoOncology, DNAMethylation, GeneExpression,
        GeneRegulation, Epigenetics, Genetics, Clustering,
        FeatureExtraction, Regression, RNASeq, Bayesian, KEGG,
        Sequencing, Coverage, SingleCell
Config/pak/sysreqs: make
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 14:49:49 UTC
RemoteUrl: https://github.com/bioc/Melissa
RemoteRef: RELEASE_3_22
RemoteSha: edad671508eca7d76e514eec42d90ed2cbc26dc4
NeedsCompilation: no
Packaged: 2026-01-24 07:34:44 UTC; root
Author: C. A. Kapourani [aut, cre]
Maintainer: C. A. Kapourani <kapouranis.andreas@gmail.com>
Built: R 4.5.2; ; 2026-01-24 07:36:16 UTC; windows
