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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 gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: scUtils results

Documentation:

Reference manual: scUtils.pdf

Downloads:

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 dependencies:

Reverse imports: cellpypes

Linking:

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.
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