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 |
Please use the canonical form https://CRAN.R-project.org/package=SingleCellStat to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.