To install this package, start R and enter:

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

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

flowMeans

Non-parametric Flow Cytometry Data Gating

Bioconductor version: Release (2.14)

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>

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

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 Cancer, CellBiology, Clustering, FlowCytometry, HIV, Software, StemCells
Version 1.16.0
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_1.16.0.tar.gz
Windows Binary flowMeans_1.16.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) flowMeans_1.16.0.tgz
Mac OS X 10.9 (Mavericks) flowMeans_1.16.0.tgz
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