Package: scone
Version: 1.4.0
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", "cre", "cph")),
	     person("Davide", "Risso", email = "risso.davide@gmail.com",
	          role = c("aut", "cph")))
Author: Michael Cole [aut, cre, cph], Davide Risso [aut, cph]
Maintainer: Michael Cole <mbeloc@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
Suggests:
  BiocStyle,
  DT,
  ggplot2,
  knitr,
  miniUI,
  NMF,
  plotly,
  reshape2,
  rmarkdown,
  scran,
  scRNAseq,
  shiny,
  testthat,
  visNetwork
VignetteBuilder: knitr
LazyLoad: yes
biocViews:
  Normalization,
  Preprocessing,
  QualityControl,
  GeneExpression,
  RNASeq,
  Software,
  Transcriptomics,
  Sequencing,
  SingleCell,
  Coverage
BugReports: https://github.com/YosefLab/scone/issues
RoxygenNote: 6.0.1