flowMeans

This package is for version 3.6 of Bioconductor; for the stable, up-to-date release version, see flowMeans.

Non-parametric Flow Cytometry Data Gating

Bioconductor version: 3.6

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 "3.4") 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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews CellBiology, Clustering, FlowCytometry, Software

Version 1.38.0

In Bioconductor since BioC 2.6 (R-2.11) (14 years)

License Artistic-2.0

Depends R (>= 2.10.0)

Imports Biobase, graphics, grDevices, methods, rrcov, stats, feature, flowCore

System Requirements

URL

Suggests

Linking To

Enhances

Depends On Me

Imports Me CONFESS, flowType

Suggests Me

Links To Me

Build Report Build Report

Package Archives

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

Source Package flowMeans_1.38.0.tar.gz

Windows Binary flowMeans_1.38.0.zip

Mac OS X 10.11 (El Capitan) flowMeans_1.38.0.tgz

Source Repository git clone https://git.bioconductor.org/packages/flowMeans

Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/flowMeans

Package Short Url https://bioconductor.org/packages/flowMeans/

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Old Source Packages for BioC 3.6 Source Archive