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A common bioinformatics task in single-cell data analysis is to purify a cell type or cell population of interest from heterogeneous datasets. 'scGate' automatizes marker-based purification of specific cell populations, without requiring training data or reference gene expression profiles. Briefly, 'scGate' takes as input: i) a gene expression matrix stored in a 'Seurat' object and ii) a “gating model” (GM), consisting of a set of marker genes that define the cell population of interest. The GM can be as simple as a single marker gene, or a combination of positive and negative markers. More complex GMs can be constructed in a hierarchical fashion, akin to gating strategies employed in flow cytometry. 'scGate' evaluates the strength of signature marker expression in each cell using the rank-based method 'UCell', and then performs k-nearest neighbor (kNN) smoothing by calculating the mean 'UCell' score across neighboring cells. kNN-smoothing aims at compensating for the large degree of sparsity in scRNA-seq data. Finally, a universal threshold over kNN-smoothed signature scores is applied in binary decision trees generated from the user-provided gating model, to annotate cells as either “pure” or “impure”, with respect to the cell population of interest. See the related publication Andreatta et al. (2022) <doi:10.1093/bioinformatics/btac141>.
Version: | 1.6.2 |
Depends: | R (≥ 4.3.0) |
Imports: | Seurat (≥ 4.0.0), UCell (≥ 2.6.0), dplyr, stats, utils, methods, patchwork, ggridges, reshape2, ggplot2, BiocParallel |
Suggests: | ggparty, partykit, knitr, rmarkdown |
Published: | 2024-04-23 |
DOI: | 10.32614/CRAN.package.scGate |
Author: | Massimo Andreatta [aut, cre], Ariel Berenstein [aut], Josep Garnica [aut], Santiago Carmona [aut] |
Maintainer: | Massimo Andreatta <massimo.andreatta at unil.ch> |
BugReports: | https://github.com/carmonalab/scGate/issues |
License: | GPL-3 |
URL: | https://github.com/carmonalab/scGate |
NeedsCompilation: | no |
Citation: | scGate citation info |
Materials: | NEWS |
CRAN checks: | scGate results |
Reference manual: | scGate.pdf |
Vignettes: |
Index of scGate vignettes |
Package source: | scGate_1.6.2.tar.gz |
Windows binaries: | r-devel: scGate_1.6.2.zip, r-release: scGate_1.6.2.zip, r-oldrel: scGate_1.6.2.zip |
macOS binaries: | r-release (arm64): scGate_1.6.2.tgz, r-oldrel (arm64): scGate_1.4.1.tgz, r-release (x86_64): scGate_1.6.2.tgz, r-oldrel (x86_64): scGate_1.4.1.tgz |
Old sources: | scGate archive |
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