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>

To install this package, start R and enter:

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

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

Documentation

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 Downloads

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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