Package: scone
Version: 1.16.0
Title: Single Cell Overview of Normalized Expression data
Description: SCONE is an R package for comparing and ranking the performance of
	different normalization schemes for single-cell RNA-seq and other 
	high-throughput analyses.
Authors@R: c(person("Michael", "Cole", email = "mbeloc@gmail.com",
	          role = c("aut", "cph")),
	     person("Davide", "Risso", email = "risso.davide@gmail.com",
	          role = c("aut", "cre", "cph")),
	     person("Matteo", "Borella", 
           email = "matteobor94@gmail.com", 
           role = "ctb"),
           person("Chiara", "Romualdi", role = c("ctb"),
             email = "chiara.romualdi@gmail.com"))
License: Artistic-2.0
Depends:
  R (>= 3.4),
  methods,
  SummarizedExperiment
Imports:
  graphics,
  stats,
  utils,
  aroma.light,
  BiocParallel,
  class,
  cluster,
  compositions,
  diptest,
  edgeR,
  fpc,
  gplots,
  grDevices,
  hexbin,
  limma,
  matrixStats,
  mixtools,
  RColorBrewer,
  boot,
  rhdf5,
  RUVSeq,
  rARPACK,
  MatrixGenerics,
  SingleCellExperiment
Suggests:
  BiocStyle,
  DT,
  ggplot2,
  knitr,
  miniUI,
  NMF,
  plotly,
  reshape2,
  rmarkdown,
  scran,
  scRNAseq,
  shiny,
  testthat,
  visNetwork,
  doParallel,
  BatchJobs,
  splatter,
  scater,
  kableExtra,
  mclust
VignetteBuilder: knitr
biocViews: 
  ImmunoOncology, 
  Normalization,
  Preprocessing,
  QualityControl,
  GeneExpression,
  RNASeq,
  Software,
  Transcriptomics,
  Sequencing,
  SingleCell,
  Coverage
BugReports: https://github.com/YosefLab/scone/issues
RoxygenNote: 7.1.1
Encoding: UTF-8