To install this package, start R and enter:

## try http if https is not available
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: Release (3.1)

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")):

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("flowDensity")

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

browseVignettes("flowDensity")

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

biocViews	Bioinformatics, Cancer, CellBiology, Clustering, DensityGating, FlowCytData, FlowCytometry, Software, StemCells
Version	1.2.0
In Bioconductor since	BioC 3.0 (R-3.1) (1 year)
License	Artistic-2.0
Depends	R (>= 2.10.0), methods
Imports	flowCore, graphics, car, gplots, RFOC, GEOmap, methods, grDevices
LinkingTo
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SystemRequirements
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URL
Depends On Me
Imports Me
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Build Report

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

Package Source	flowDensity_1.2.0.tar.gz
Windows Binary	flowDensity_1.2.0.zip
Mac OS X 10.6 (Snow Leopard)	flowDensity_1.2.0.tgz
Mac OS X 10.9 (Mavericks)	flowDensity_1.2.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/flowDensity/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/flowDensity/
Package Downloads Report	Download Stats

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