scUtils: Utility Functions for Single-Cell RNA Sequencing Data

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
DOI: 10.32614/CRAN.package.scUtils
Author: Felix Frauhammer [aut, cre], Simon Anders [ctb] (Simon Anders wrote the colVars_spm function.)
Maintainer: Felix Frauhammer <felixwertek at>
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:, r-release:, r-oldrel:
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 dependencies:

Reverse imports: cellpypes


Please use the canonical form to link to this page.