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ccRemover  

Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ccRemover", "1.0.4")



Attach the package and use:
library("ccRemover")
Maintained by
Jun Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-18
Latest Update: 2017-08-19
Description:
Implements a method for identifying and removing the cell-cycle effect from scRNA-Seq data. The description of the method is in Barron M. and Li J. (2016) . Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data. Submitted. Different from previous methods, ccRemover implements a mechanism that formally tests whether a component is cell-cycle related or not, and thus while it often thoroughly removes the cell-cycle effect, it preserves other features/signals of interest in the data.
How to cite:
Jun Li (2017). ccRemover: Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing Data. R package version 1.0.4, https://cran.r-project.org/web/packages/ccRemover. Accessed 10 Mar. 2026.
Previous versions and publish date:
1.0.1 (2017-05-18 15:48), 1.0.2 (2017-07-26 17:39), 1.0.3 (2017-08-13 05:13)
Other packages that cited ccRemover R package
View ccRemover citation profile
Other R packages that ccRemover depends, imports, suggests or enhances
Complete documentation for ccRemover
Functions, R codes and Examples using the ccRemover R package
Some associated functions: HScc_genes . MMcc_genes . bootstrap_diff . ccRemover . dat . gene_indexer . get_diff . hello . t.cell_data . 
Some associated R codes: ccRemover.R . gene_indexer.R . hello.R .  Full ccRemover package functions and examples
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