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scUtils  

Utility Functions for Single-Cell RNA Sequencing Data
View on CRAN: Click here


Download and install scUtils package within the R console
Install from CRAN:
install.packages("scUtils")

Install from Github:
library("remotes")
install_github("cran/scUtils")

Install by package version:
library("remotes")
install_version("scUtils", "0.1.0")



Attach the package and use:
library("scUtils")
Maintained by
Felix Frauhammer
[Scholar Profile | Author Map]
First Published: 2020-06-25
Latest Update: 2020-06-25
Description:
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.).
How to cite:
Felix Frauhammer (2020). scUtils: Utility Functions for Single-Cell RNA Sequencing Data. R package version 0.1.0, https://cran.r-project.org/web/packages/scUtils. Accessed 18 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited scUtils R package
View scUtils citation profile
Other R packages that scUtils depends, imports, suggests or enhances
Complete documentation for scUtils
Functions, R codes and Examples using the scUtils R package
Some associated functions: closed_breaks_log2 . closed_labels . colVars_spm . feat . is_wholenumber . 
Some associated R codes: plots.R . variance.R .  Full scUtils package functions and examples
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