Package: Melissa
Type: Package
Title: Bayesian clustering and imputationa of single cell methylomes
Version: 1.2.0
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: 6.1.1
Imports: data.table, parallel, ROCR, matrixcalc, clues, 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
git_url: https://git.bioconductor.org/packages/Melissa
git_branch: RELEASE_3_10
git_last_commit: cd408c1
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: no
Packaged: 2019-10-30 04:52:42 UTC; biocbuild
Author: C. A. Kapourani [aut, cre]
Maintainer: C. A. Kapourani <kapouranis.andreas@gmail.com>
Built: R 3.6.1; ; 2019-10-30 13:38:39 UTC; windows
