Other packages > Find by keyword >

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 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:25), 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

keyATM  
Keyword Assisted Topic Models
Fits keyword assisted topic models (keyATM) using collapsed Gibbs samplers. The keyATM combines the ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
eoR  
Data Management Package (Exposure and Occurrence Data in R)
This data management package provides some helper classes for publicly available data sources (HMD, ...
Download / Learn more Package Citations See dependency  
adespatial  
Multivariate Multiscale Spatial Analysis
Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the us ...
Download / Learn more Package Citations See dependency  
RPEnsemble  
Random Projection Ensemble Classification
Implements the methodology of "Cannings, T. I. and Samworth, R. J. (2017) Random-projection ensemble ...
Download / Learn more Package Citations See dependency  

28,989

R Packages

247,686

Dependencies

76,729

Author Associations

28,990

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA