Simplification of scRNA-Seq Data by Merging Together Similar Cells R package SuperCell version 1.1 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 and 'WeightedCluster' <doi:10.12682/lives.2296-1658.2013.24> <https://mephisto.unige.ch/weightedcluster/> for weighted clustering on metacells. We also recommend installing 'scater' Bioconductor package <doi:10.18129/B9.bioc.scater> <https://bioconductor.org/packages/release/bioc/html/scater.html>. Software Depends: R (>= 4.0.0) Imports: igraph, RANN, 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, WeightedCluster, testthat (>= 3.0.0) Matei Teleman <matei.teleman@unil.ch> Comprehensive R Archive Network (CRAN) Mariia Bilous [aut], Matei Teleman [cre] GPL-3 2025-12-16 application/tgz https://CRAN.R-project.org/package=SuperCell doi:10.32614/CRAN.package.SuperCell