To install this package, start R and enter:

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

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

flowFP

Fingerprinting for Flow Cytometry

Bioconductor version: Release (3.4)

Fingerprint generation of flow cytometry data, used to facilitate the application of machine learning and datamining tools for flow cytometry.

Author: Herb Holyst <holyst at mail.med.upenn.edu>, Wade Rogers <rogersw at mail.med.upenn.edu>

Maintainer: Herb Holyst <holyst at mail.med.upenn.edu>

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

To install this package, start R and enter:

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

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

browseVignettes("flowFP")

PDF	R Script	Fingerprinting for Flow Cytometry
PDF		Reference Manual
Text		README
Text		NEWS

biocViews	CellBasedAssays, Clustering, FlowCytometry, Software, Visualization
Version	1.32.0
In Bioconductor since	BioC 2.5 (R-2.10) (7.5 years)
License	Artistic-2.0
Depends	R (>= 2.10), flowCore, flowViz
Imports	Biobase, BiocGenerics(>= 0.1.6), graphics, grDevices, methods, stats, stats4
LinkingTo
Suggests	RUnit
SystemRequirements
Enhances
URL
Depends On Me	flowBin
Imports Me
Suggests Me
Build Report

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

Package Source	flowFP_1.32.0.tar.gz
Windows Binary	flowFP_1.32.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks)	flowFP_1.32.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/flowFP/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/flowFP/
Package Downloads Report	Download Stats

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