Package: scone
Version: 1.18.0
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,
        TENxPBMCData
VignetteBuilder: knitr
biocViews: ImmunoOncology, Normalization, Preprocessing,
        QualityControl, GeneExpression, RNASeq, Software,
        Transcriptomics, Sequencing, SingleCell, Coverage
BugReports: https://github.com/YosefLab/scone/issues
RoxygenNote: 7.1.2
Encoding: UTF-8
git_url: https://git.bioconductor.org/packages/scone
git_branch: RELEASE_3_14
git_last_commit: 80329bd
git_last_commit_date: 2021-10-26
Date/Publication: 2021-10-27
NeedsCompilation: no
Packaged: 2021-10-28 03:29:02 UTC; biocbuild
Author: Michael Cole [aut, cph],
  Davide Risso [aut, cre, cph],
  Matteo Borella [ctb],
  Chiara Romualdi [ctb]
Maintainer: Davide Risso <risso.davide@gmail.com>
Built: R 4.1.1; ; 2021-10-28 12:39:25 UTC; windows
