SCIntRuler: Guiding the Integration of Multiple Single-Cell RNA-Seq Datasets
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  [aut,
cre] |
| 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 |
Documentation:
Downloads:
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