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SuperCell: Simplification of scRNA-Seq Data by Merging Together Similar Cells

Aggregates large single-cell data into metacell dataset by merging together gene expression of very similar cells. 'SuperCell' uses 'velocyto.R' <doi:10.1038/s41586-018-0414-6> <https://github.com/velocyto-team/velocyto.R> for RNA velocity. We also recommend installing 'scater' Bioconductor package <doi:10.18129/B9.bioc.scater> <https://bioconductor.org/packages/release/bioc/html/scater.html>.

Version: 1.0
Depends: R (≥ 4.0.0)
Imports: igraph, RANN, WeightedCluster, corpcor, weights, Hmisc, Matrix, matrixStats, plyr, irlba, grDevices, patchwork, ggplot2, umap, entropy, Rtsne, dbscan, scales, plotfunctions, proxy, methods, rlang
Suggests: SingleCellExperiment, SummarizedExperiment, cowplot, scater, Seurat, knitr, rmarkdown, remotes, bluster, velocyto.R, testthat (≥ 3.0.0)
Published: 2024-09-05
DOI: 10.32614/CRAN.package.SuperCell
Author: Mariia Bilous [aut], Leonard Herault [cre]
Maintainer: Leonard Herault <leonard.herault at unil.ch>
BugReports: https://github.com/GfellerLab/SuperCell/issues
License: GPL-3
NeedsCompilation: no
Additional_repositories: https://mteleman.github.io/drat
Materials: README
CRAN checks: SuperCell results

Documentation:

Reference manual: SuperCell.pdf
Vignettes: Example of the SuperCell pipeline (source, R code)
Combined or independent SuperCell runs for different samples (source, R code)

Downloads:

Package source: SuperCell_1.0.tar.gz
Windows binaries: r-devel: SuperCell_1.0.zip, r-release: SuperCell_1.0.zip, r-oldrel: SuperCell_1.0.zip
macOS binaries: r-release (arm64): SuperCell_1.0.tgz, r-oldrel (arm64): SuperCell_1.0.tgz, r-release (x86_64): SuperCell_1.0.tgz, r-oldrel (x86_64): SuperCell_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SuperCell to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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