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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: | 1.0.1 |
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: | 2024-10-25 |
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 |
Reference manual: | SuperCell.pdf |
Vignettes: |
Example of the SuperCell pipeline (source, R code) Combined or independent SuperCell runs for different samples (source, R code) |
Package source: | SuperCell_1.0.1.tar.gz |
Windows binaries: | r-devel: SuperCell_1.0.1.zip, r-release: SuperCell_1.0.1.zip, r-oldrel: SuperCell_1.0.1.zip |
macOS binaries: | r-release (arm64): SuperCell_1.0.1.tgz, r-oldrel (arm64): SuperCell_1.0.1.tgz, r-release (x86_64): SuperCell_1.0.1.tgz, r-oldrel (x86_64): SuperCell_1.0.1.tgz |
Old sources: | SuperCell archive |
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.