Package: scone
Version: 1.6.1
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: ImmunoOncology, Normalization, Preprocessing,
        QualityControl, GeneExpression, RNASeq, Software,
        Transcriptomics, Sequencing, SingleCell, Coverage
BugReports: https://github.com/YosefLab/scone/issues
RoxygenNote: 6.0.1
git_url: https://git.bioconductor.org/packages/scone
git_branch: RELEASE_3_8
git_last_commit: ad564e5
git_last_commit_date: 2019-01-04
Date/Publication: 2019-01-04
NeedsCompilation: no
Packaged: 2019-01-05 02:38:38 UTC; biocbuild
Built: R 3.5.1; ; 2019-03-12 14:23:57 UTC; unix
