Core utilities for single-cell RNA-seq data analysis. Contained within are utility functions for working with differential expression (DE) matrices and count matrices, a collection of functions for manipulating and plotting data via 'ggplot2', and functions to work with cell graphs and cell embeddings. Graph-based methods include embedding kNN cell graphs into a UMAP <doi:10.21105/joss.00861>, collapsing vertices of each cluster in the graph, and propagating graph labels.
Version: 1.0.6 Depends: R (≥ 3.5.0) Imports: dplyr, ggplot2, ggrepel, graphics, grDevices, igraph, irlba, magrittr, Matrix, methods, parallel, pbmcapply, pROC, Rcpp, rlang, scales, Seurat, stats, tibble, utils, uwot, withr LinkingTo: Rcpp, RcppArmadillo, RcppProgress, RcppEigen Suggests: ggrastr (≥ 0.1.7), jsonlite, rmumps, testthat Published: 2025-04-13 DOI: 10.32614/CRAN.package.sccore Author: Viktor Petukhov [aut], Rasmus Rydbirk [aut], Peter Kharchenko [aut], Evan Biederstedt [aut, cre] Maintainer: Evan Biederstedt <evan.biederstedt at gmail.com> BugReports: https://github.com/kharchenkolab/sccore/issues License: GPL-3 URL: https://github.com/kharchenkolab/sccore NeedsCompilation: yes Materials: README In views: Omics CRAN checks: sccore resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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