To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("flowDensity")

In most cases, you don't need to download the package archive at all.

flowDensity

   

Sequential Flow Cytometry Data Gating

Bioconductor version: 3.2

This package provides tools for automated sequential gating analogous to the manual gating strategy based on the density of the data.

Author: M. Jafar Taghiyar, Mehrnoush Malek

Maintainer: Mehrnoush Malek <mmalekes at bccrc.ca>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("flowDensity")

Documentation

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

browseVignettes("flowDensity")

 

PDF Automated alternative to the current manual gating practice
PDF   Reference Manual
Text   README
Text   NEWS

Details

biocViews Bioinformatics, Cancer, CellBiology, Clustering, DensityGating, FlowCytData, FlowCytometry, Software, StemCells
Version 1.4.0
In Bioconductor since BioC 3.0 (R-3.1) (1.5 years)
License Artistic-2.0
Depends R (>= 2.10.0), methods
Imports flowCore, graphics, car, gplots, RFOC, GEOmap, methods, grDevices
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source flowDensity_1.4.0.tar.gz
Windows Binary flowDensity_1.4.0.zip
Mac OS X 10.6 (Snow Leopard) flowDensity_1.4.0.tgz
Mac OS X 10.9 (Mavericks) flowDensity_1.4.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/flowDensity/tree/release-3.2
Package Short Url http://bioconductor.org/packages/flowDensity/
Package Downloads Report Download Stats

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