DESCRIPTION

Package: Melissa
Type: Package
Title: Bayesian clustering and imputationa of single cell methylomes
Version: 1.5.3
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