The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: | 1.0.5 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr, ggplot2, ggrepel, graphics, grDevices, igraph, irlba, magrittr, Matrix, methods, parallel, pbmcapply, pROC, Rcpp, rlang, scales, stats, tibble, utils, uwot, withr |
| LinkingTo: | Rcpp, RcppArmadillo, RcppProgress, RcppEigen |
| Suggests: | ggrastr (≥ 0.1.7), jsonlite, rmumps, testthat |
| Published: | 2024-02-23 |
| 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 results |
| Reference manual: | sccore.pdf |
| Package source: | sccore_1.0.5.tar.gz |
| Windows binaries: | r-devel: sccore_1.0.5.zip, r-release: sccore_1.0.5.zip, r-oldrel: sccore_1.0.5.zip |
| macOS binaries: | r-release (arm64): sccore_1.0.5.tgz, r-oldrel (arm64): sccore_1.0.5.tgz, r-release (x86_64): sccore_1.0.5.tgz, r-oldrel (x86_64): sccore_1.0.5.tgz |
| Old sources: | sccore archive |
| Reverse imports: | conos, CRMetrics, leidenAlg, pagoda2, scITD |
Please use the canonical form https://CRAN.R-project.org/package=sccore 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.
Health stats visible at Monitor.