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ccdf  

Distribution-Free Single-Cell Differential Expression Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ccdf", "1.1.4")



Attach the package and use:
library("ccdf")
Maintained by
Marine Gauthier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-24
Latest Update:
Description:
Complex hypothesis testing through conditional cumulative distribution function estimation.Method is detailed in Gauthier M Agniel D Thiebaut R Hejblum BP 2020.Distribution-free complex hypothesis testing for single-cell RNA-seq differential expression analysis BioRxiv doi10.11012021.05.21.445165.
How to cite:
Marine Gauthier (2021). ccdf: Distribution-Free Single-Cell Differential Expression Analysis. R package version 1.1.4, https://cran.r-project.org/web/packages/ccdf. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:25), 1.1.4 (2021-09-24 10:00)
Other packages that cited ccdf R package
View ccdf citation profile
Other R packages that ccdf depends, imports, suggests or enhances
Functions, R codes and Examples using the ccdf R package
Some associated functions: CCDF . CDF . ccdf_testing . perm_cont . permut . plot_CCDF . plot_pvals . test_asymp . test_perm . weights_ccdf . 
Some associated R codes: CCDF.R . CDF.R . ccdf_testing.R . perm_cont.R . permut.R . plot_CCDF.R . plot_pvals.R . test_asymp.R . test_perm.R . weights_ccdf.R .  Full ccdf package functions and examples
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