SingleCellStat: A Toolkit for Statistical Analysis of Single-Cell Omics Data

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>.

Version: 0.3.1
Depends: R (≥ 4.3.0)
Imports: matrixStats, Matrix, stats, utils, vegan
Suggests: knitr, rmarkdown
Published: 2025-05-13
DOI: 10.32614/CRAN.package.SingleCellStat
Author: Lujun Zhang [aut], Jun Chen [aut, cre]
Maintainer: Jun Chen <chen.jun2 at mayo.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: SingleCellStat results

Documentation:

Reference manual: SingleCellStat.pdf

Downloads:

Package source: SingleCellStat_0.3.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): SingleCellStat_0.3.1.tgz, r-oldrel (arm64): SingleCellStat_0.3.1.tgz, r-release (x86_64): SingleCellStat_0.3.1.tgz, r-oldrel (x86_64): SingleCellStat_0.3.1.tgz

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