To install this package, start R and enter:

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

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

flowQ

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see flowQ.

Quality control for flow cytometry

Bioconductor version: 3.4

Provides quality control and quality assessment tools for flow cytometry data.

Author: R. Gentleman, F. Hahne, J. Kettman, N. Le Meur, N. Gopalakrishnan

Maintainer: Mike Jiang <wjiang2 at fhcrc.org>

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

To install this package, start R and enter:

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

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

browseVignettes("flowQ")

PDF	R Script	Basic Functions for Flow Cytometry Data
PDF	R Script	Data Quality Assesment for Ungated Flow Cytometry Data
PDF		Reference Manual

biocViews	CellBasedAssays, FlowCytometry, Infrastructure, Software
Version	1.34.0
In Bioconductor since	BioC 2.2 (R-2.7) (9 years)
License	Artistic-2.0
Depends	R (>= 2.10.0), methods, BiocGenerics, outliers, lattice, flowViz, mvoutlier, bioDist, parody, RColorBrewer, latticeExtra
Imports	methods, BiocGenerics, geneplotter, flowCore, flowViz, IRanges
LinkingTo
Suggests	flowStats
SystemRequirements	ImageMagick
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	flowQ_1.34.0.tar.gz
Windows Binary
Mac OS X 10.9 (Mavericks)	flowQ_1.34.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/flowQ/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/flowQ/
Package Downloads Report	Download Stats

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