flowMeans

Non-parametric Flow Cytometry Data Gating

Bioconductor version: Release (3.17)

Identifies cell populations in Flow Cytometry data using non-parametric clustering and segmented-regression-based change point detection. Note: R 2.11.0 or newer is required.

Author: Nima Aghaeepour

Maintainer: Nima Aghaeepour <naghaeep at gmail.com>

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

Installation

To install this package, start R (version "4.3") and enter:

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

BiocManager::install("flowMeans")

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("flowMeans")

flowMeans: Non-parametric Flow Cytometry Data Gating	PDF	R Script
Reference Manual	PDF

Details

biocViews	CellBiology, Clustering, FlowCytometry, ImmunoOncology, Software
Version	1.60.0
In Bioconductor since	BioC 2.6 (R-2.11) (13.5 years)
License	Artistic-2.0
Depends	R (>= 2.10.0)
Imports	Biobase, graphics, grDevices, methods, rrcov, stats, feature, flowCore
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Depends On Me
Imports Me	CONFESS, optimalFlow
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Build Report

Package Archives

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

Source Package	flowMeans_1.60.0.tar.gz
Windows Binary	flowMeans_1.60.0.zip (64-bit only)
macOS Binary (x86_64)	flowMeans_1.60.0.tgz
macOS Binary (arm64)	flowMeans_1.60.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/flowMeans
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/flowMeans
Bioc Package Browser	https://code.bioconductor.org/browse/flowMeans/
Package Short Url	https://bioconductor.org/packages/flowMeans/
Package Downloads Report	Download Stats