To install this package, start R and enter:

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

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

flowQB

 

   

This is the development version of flowQB; for the stable release version, see flowQB.

Automated Quadratic Characterization of Flow Cytometer Instrument Sensitivity: Q, B and CV instrinsic calculations

Bioconductor version: Development (3.4)

flowQB is a fully automated R Bioconductor package to calculate automatically the detector efficiency (Q), optical background (B) and intrinsic CV of the beads.

Author: Faysal El Khettabi, Wayne Moore, David Parks, Josef Spidlen, Ryan Brinkman

Maintainer: Josef Spidlen <jspidlen at bccrc.ca>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("flowQB")

 

PDF flowQB package
PDF   Reference Manual
Text   NEWS

Details

biocViews FlowCytometry, PeakDetection, QualityControl, Regression, Software
Version 1.20.5
In Bioconductor since BioC 2.11 (R-2.15) (3.5 years)
License Artistic-2.0
Depends
Imports Biobase, graphics, methods, flowCore(>= 1.32.0), stats
LinkingTo
Suggests FlowRepositoryR, MASS, RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source flowQB_1.20.5.tar.gz
Windows Binary flowQB_1.20.5.zip
Mac OS X 10.9 (Mavericks) flowQB_1.20.5.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/flowQB
Package Short Url http://bioconductor.org/packages/flowQB/
Package Downloads Report Download Stats

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