Bioconductor 3.22 Released

staRgate

This is the development version of staRgate; to use it, please install the devel version of Bioconductor.

Automated gating pipeline for flow cytometry analysis to characterize the lineage, differentiation, and functional states of T-cells


Bioconductor version: Development (3.23)

An R-based automated gating pipeline for flow cytometry data designed to mimic the manual gating strategy of defining flow biomarker positive populations relative to a unimodal background population to include cells with varying intensities of marker expression. The pipeline’s main feature is a flexible density-based gating strategy capable of capturing varying scenarios based on marker expression patterns to analyze a 29-marker flow panel that characterizes T-cell lineage, differentiation, and functional states.

Author: Jasme Lee [aut, cre] ORCID iD ORCID: 0009-0006-4492-4872

Maintainer: Jasme Lee <leej22 at mskcc.org>

Citation (from within R, enter citation("staRgate")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("staRgate")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("staRgate")
Tutorial: Running the pipeline HTML R Script
Reference Manual PDF

Details

biocViews FlowCytometry, ImmunoOncology, Preprocessing, Software
Version 0.99.4
In Bioconductor since BioC 3.23 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports dplyr, janitor, purrr, rlang, stringr, tidyr, flowCore, flowWorkspace, glue, tibble
System Requirements
URL https://leejasme.github.io/staRgate/ https://github.com/leejasme/staRgate
Bug Reports https://github.com/leejasme/staRgate/issues
See More
Suggests flowAI, ggplot2, gt, knitr, openCyto, ggcyto, rmarkdown, data.table, here, testthat (>= 3.0.0), BiocStyle
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package staRgate_0.99.4.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64) staRgate_0.99.4.tgz
Source Repository git clone https://git.bioconductor.org/packages/staRgate
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/staRgate
Bioc Package Browser https://code.bioconductor.org/browse/staRgate/
Package Short Url https://bioconductor.org/packages/staRgate/
Package Downloads Report Download Stats