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Package: scone
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| 63602438 |
Version: 1.4.0
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Title: Single Cell Overview of Normalized Expression data
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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.
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Authors@R: c(person("Michael", "Cole", email = "mbeloc@gmail.com",
role = c("aut", "cre", "cph")),
person("Davide", "Risso", email = "risso.davide@gmail.com",
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role = c("aut", "cph")))
Author: Michael Cole [aut, cre, cph], Davide Risso [aut, cph]
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Maintainer: Michael Cole <mbeloc@gmail.com>
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License: Artistic-2.0
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Depends:
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R (>= 3.4),
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methods,
SummarizedExperiment
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Imports:
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graphics,
stats,
utils,
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aroma.light,
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BiocParallel,
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class,
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cluster,
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compositions,
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diptest,
edgeR,
fpc,
gplots,
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grDevices,
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hexbin,
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limma,
matrixStats,
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mixtools,
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RColorBrewer,
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boot,
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rhdf5,
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RUVSeq,
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rARPACK
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Suggests:
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BiocStyle,
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DT,
ggplot2,
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knitr,
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| 3a7e0cb6 |
miniUI,
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| d415a9d8 |
NMF,
plotly,
reshape2,
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| 9fa8d58c |
rmarkdown,
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| 0d720099 |
scran,
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scRNAseq,
shiny,
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testthat,
visNetwork
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VignetteBuilder: knitr
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LazyLoad: yes
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biocViews:
Normalization,
Preprocessing,
QualityControl,
GeneExpression,
RNASeq,
Software,
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Transcriptomics,
Sequencing,
SingleCell,
Coverage
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BugReports: https://github.com/YosefLab/scone/issues
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RoxygenNote: 6.0.1
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