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.).


Reference manual

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0.1.0 by Felix Frauhammer, a year 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