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

flowMeans

Non-parametric Flow Cytometry Data Gating

Bioconductor version: 2.13

Identifies cell populations in Flow Cytometry data using non-parametric clustering and segmented-regression-based change point detection. Note: R 2.11.0 or newer is required.

Author: Nima Aghaeepour

Maintainer: Nima Aghaeepour <naghaeep at bccrc.ca>

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("flowMeans")

 

PDF	R Script	flowMeans: Non-parametric Flow Cytometry Data Gating
PDF		Reference Manual

Details

biocViews	Bioinformatics, Cancer, CellBiology, Clustering, FlowCytData, FlowCytometry, HIV, Software, StemCells
Version	1.14.0
In Bioconductor since	BioC 2.6 (R-2.11)
License	Artistic-2.0
Depends	R (>= 2.10.0)
Imports	Biobase, graphics, grDevices, methods, rrcov, stats, feature, flowCore
Suggests
System Requirements
URL
Depends On Me
Imports Me	flowPhyto, flowType
Suggests Me

Package Archives

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

Package Source	flowMeans_1.14.0.tar.gz
Windows Binary	flowMeans_1.14.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	flowMeans_1.14.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats