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The accumulation of single-cell RNA sequencing (scRNA-seq) studies highlights the potential benefits of integrating multiple datasets. By augmenting sample sizes and enhancing analytical robustness, integration can lead to more insightful biological conclusions. However, challenges arise due to the inherent diversity and batch discrepancies within and across studies. 'SCIntRuler' addresses these challenges by guiding the integration of multiple scRNA-seq datasets.
| Version: | 0.99.8 |
| Depends: | R (≥ 4.3.0) |
| Imports: | Rcpp, Matrix, base, Seurat, SeuratObject, MatrixGenerics, SingleCellExperiment, SummarizedExperiment, dplyr, coin, harmony, ggplot2, gridExtra, cowplot, magrittr, stats |
| LinkingTo: | Rcpp |
| Suggests: | BiocStyle, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-09-16 |
| DOI: | 10.32614/CRAN.package.SCIntRuler |
| Author: | Yue Lyu |
| Maintainer: | Yue Lyu <yuelyu0521 at gmail.com> |
| BugReports: | https://github.com/yuelyu21/SCIntRuler/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/yuelyu21/SCIntRuler, https://yuelyu21.github.io/SCIntRuler/ |
| NeedsCompilation: | yes |
| Citation: | SCIntRuler citation info |
| Materials: | README, NEWS |
| CRAN checks: | SCIntRuler results |
| Reference manual: | SCIntRuler.html , SCIntRuler.pdf |
| Vignettes: |
Integrating Single-Cell RNA-seq Datasets with SCIntRuler (source, R code) |
| Package source: | SCIntRuler_0.99.8.tar.gz |
| Windows binaries: | r-devel: SCIntRuler_0.99.8.zip, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): SCIntRuler_0.99.8.tgz, r-release (x86_64): SCIntRuler_0.99.8.tgz, r-oldrel (x86_64): SCIntRuler_0.99.8.tgz |
| Old sources: | SCIntRuler archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.