flowFP

DOI: 10.18129/B9.bioc.flowFP    

Fingerprinting for Flow Cytometry

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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	1.36.0
In Bioconductor since	BioC 2.5 (R-2.10) (8.5 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.

Source Package	flowFP_1.36.0.tar.gz
Windows Binary	flowFP_1.36.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	flowFP_1.36.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/flowFP
Package Short Url	http://bioconductor.org/packages/flowFP/
Package Downloads Report	Download Stats