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.).


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install.packages("scUtils")

0.1.0 by Felix Frauhammer, 3 months ago


Browse source code at https://github.com/cran/scUtils


Authors: Felix Frauhammer [aut, cre] , Simon Anders [ctb] (Simon Anders wrote the colVars_spm function.)


Documentation:   PDF Manual  


GPL-3 license


Imports ggplot2, Matrix, scales, assertthat, dplyr, viridis, viridisLite, methods

Suggests testthat, tibble


See at CRAN