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 | 
| Reference manual: | SingleCellStat.html , SingleCellStat.pdf | 
| Package source: | SingleCellStat_0.3.1.tar.gz | 
| Windows binaries: | r-devel: SingleCellStat_0.3.1.zip, r-release: SingleCellStat_0.3.1.zip, r-oldrel: SingleCellStat_0.3.1.zip | 
| 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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