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 [issues need fixing before 2025-07-23] Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=SCIntRuler to link to this page.
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