flowMeans

Non-parametric Flow Cytometry Data Gating

Bioconductor version: Release (2.12)

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, Cancer, CellBiology, Clustering, FlowCytData, FlowCytometry, HIV, Software, StemCells
Version	1.12.0
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 Downloads

Package Source	flowMeans_1.12.0.tar.gz
Windows Binary	flowMeans_1.12.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	flowMeans_1.12.0.tgz
Package Downloads Report	Download Stats

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