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flowMeans

This is the development version of flowMeans; for the stable release version, see flowMeans.

Non-parametric Flow Cytometry Data Gating

Bioconductor version: Development (3.18)

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")

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

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 1.61.0
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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Follow Installation instructions to use this package in your R session.

Source Package flowMeans_1.61.0.tar.gz
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Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/flowMeans
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Package Short Url https://bioconductor.org/packages/flowMeans/
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