flowMeans

Non-parametric Flow Cytometry Data Gating

Bioconductor version: 2.7

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>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("flowMeans")

Documentation

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

Details

biocViews	Bioinformatics, FlowCytometry, CellBiology, Clustering, Cancer, FlowCytData, StemCells, HIV
Depends	R (>= 2.10.0)
Imports	Biobase, graphics, grDevices, methods, rrcov, stats, feature, flowCore
Suggests
System Requirements
License	Artistic-2.0
URL
Depends On Me
Imports Me
Suggests Me
Version	1.2.0
Since	Bioconductor 2.6 (R-2.11)

Package Downloads

Package Source	flowMeans_1.2.0.tar.gz
Windows Binary	flowMeans_1.2.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	flowMeans_1.2.0.tgz
Package Downloads Report	Download Stats

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