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SingleCellStat  

A Toolkit for Statistical Analysis of Single-Cell Omics Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SingleCellStat", "0.3.1")



Attach the package and use:
library("SingleCellStat")
Maintained by
Jun Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-13
Latest Update: 2025-05-13
Description:
A suite of statistical methods for analysis of single-cell omics data including linear model-based methods for differential abundance analysis for individual level single-cell RNA-seq data. For more details see Zhang, et al. (Submitted to Bioinformatics)<https://github.com/Lujun995/DiSC_Replication_Code>.
How to cite:
Jun Chen (2025). SingleCellStat: A Toolkit for Statistical Analysis of Single-Cell Omics Data. R package version 0.3.1, https://cran.r-project.org/web/packages/SingleCellStat. Accessed 11 Mar. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for SingleCellStat
Functions, R codes and Examples using the SingleCellStat R package
Full SingleCellStat package functions and examples
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