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.
Analysis of single-cell RNA sequencing data can be simple and clear with the right utility functions. This package collects such functions, aiming to fulfill the following criteria: code clarity over performance (i.e. plain R code instead of C code), most important analysis steps over completeness (analysis 'by hand', not automated integration etc.), emphasis on quantitative visualization (intensity-coded color scale, etc.).
| Version: | 0.1.0 |
| Imports: | ggplot2, Matrix, scales, assertthat, dplyr, viridis, viridisLite, methods |
| Suggests: | testthat, tibble |
| Published: | 2020-06-25 |
| Author: | Felix Frauhammer [aut, cre], Simon Anders [ctb] (Simon Anders wrote the colVars_spm function.) |
| Maintainer: | Felix Frauhammer <felixwertek at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | scUtils results |
| Reference manual: | scUtils.pdf |
| Package source: | scUtils_0.1.0.tar.gz |
| Windows binaries: | r-devel: scUtils_0.1.0.zip, r-release: scUtils_0.1.0.zip, r-oldrel: scUtils_0.1.0.zip |
| macOS binaries: | r-release (arm64): scUtils_0.1.0.tgz, r-oldrel (arm64): scUtils_0.1.0.tgz, r-release (x86_64): scUtils_0.1.0.tgz, r-oldrel (x86_64): scUtils_0.1.0.tgz |
| Reverse imports: | cellpypes |
Please use the canonical form https://CRAN.R-project.org/package=scUtils 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.