To install this package, start R and enter:

source("http://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 (3.1)

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")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("flowFP")

Documentation

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

Details

biocViews CellBasedAssays, Clustering, FlowCytometry, Software, Visualization
Version 1.26.0
In Bioconductor since BioC 2.5 (R-2.10) (5.5 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  

Package Archives

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

Package Source flowFP_1.26.0.tar.gz
Windows Binary flowFP_1.26.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) flowFP_1.26.0.tgz
Mac OS X 10.9 (Mavericks) flowFP_1.26.0.tgz
Subversion source (username/password: readonly)
GitHub source https://github.com/Bioconductor-mirror/flowFP/tree/release-3.1
Package Short Url http://bioconductor.org/packages/flowFP/
Package Downloads Report Download Stats

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