To install this package, start R and enter:

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

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

flowMap

Mapping cell populations in flow cytometry data for cross-sample comparisons using the Friedman-Rafsky Test

Bioconductor version: Release (2.14)

flowMap quantifies the similarity of cell populations across multiple flow cytometry samples using a nonparametric multivariate statistical test. The method is able to map cell populations of different size, shape, and proportion across multiple flow cytometry samples. The algorithm can be incorporate in any flow cytometry work flow that requires accurat quantification of similarity between cell populations.

Author: Chiaowen Joyce Hsiao, Yu Qian, and Richard H. Scheuermann

Maintainer: Chiaowen Joyce Hsiao <joyce.hsiao1 at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("flowMap")

 

PDF R Script Multiple sample comparison in flow cytometry data with flowMap
PDF   Reference Manual
Text   NEWS

Details

biocViews FlowCytometry, MultipleComparison, Software
Version 1.99.2
In Bioconductor since BioC 2.13 (R-3.0)
License GPL (>=2)
Depends R (>= 3.0.1), ade4 (>= 1.5-2), doParallel (>= 1.0.3), abind (>= 1.4.0), reshape2 (>= 1.2.2), ggplot2 (>= 0.9.3.1), igraph (>= 0.7.1), scales (>= 0.2.3), Matrix (>= 1.1-4), gplots (>= 2.14.1), methods (>= 2.14)
Imports
Suggests BiocStyle, knitr
System Requirements
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Package Archives

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

Package Source flowMap_1.99.2.tar.gz
Windows Binary flowMap_1.99.2.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) flowMap_1.99.2.tgz
Mac OS X 10.9 (Mavericks) flowMap_1.99.2.tgz
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