The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

scGate: Marker-Based Cell Type Purification for Single-Cell Sequencing Data

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
Author: Massimo Andreatta ORCID iD [aut, cre], Ariel Berenstein ORCID iD [aut], Josep Garnica [aut], Santiago Carmona ORCID iD [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

Documentation:

Reference manual: scGate.pdf
Vignettes: Index of scGate vignettes

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=scGate to link to this page.

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.
Health stats visible at Monitor.