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SCIntRuler: Guiding the Integration of Multiple Single-Cell RNA-Seq Datasets
The accumulation of single-cell RNA-seq ('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', a novel R package, addresses these challenges by guiding the integration of multiple 'scRNA-seq' datasets.
| Version: |
0.99.6 |
| Depends: |
R (≥ 4.3.0) |
| Imports: |
Rcpp, Matrix, batchelor, 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: |
2024-07-12 |
| 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 |
| Materials: |
README |
| CRAN checks: |
SCIntRuler results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=SCIntRuler
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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.
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