Package: scone
Version: 1.0.0
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, EDASeq, scran, edgeR, fpc,
        gplots, grDevices, hexbin, limma, matrixStats, mixtools,
        RColorBrewer, boot, shiny, miniUI, rhdf5, RUVSeq, DT, NMF,
        ggplot2, plotly, reshape2, visNetwork, rARPACK
Suggests: BiocStyle, scRNAseq, knitr, rmarkdown, testthat
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
NeedsCompilation: no
Packaged: 2017-04-25 01:47:09 UTC; biocbuild
Built: R 3.4.0; ; 2017-04-25 07:04:49 UTC; windows
