Last data update: 2014.03.03

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flowClust : Clustering for Flow Cytometry

Package: flowClust
Type: Package
Title: Clustering for Flow Cytometry
Version: 3.10.1
Author: Raphael Gottardo <raph@stat.ubc.ca>, Kenneth Lo <c.lo@stat.ubc.ca>, Greg Finak <gfinak@fhcrc.org>
Maintainer: Greg Finak <gfinak@fhcrc.org>, Mike Jiang <wjiang2@fhcrc.org>
Depends: R (>= 2.5.0), methods, Biobase, graph, RBGL, ellipse, flowViz,
mnormt, corpcor, flowCore, clue
Imports: BiocGenerics, MCMCpack
Suggests: parallel
Enhances:
Description: Robust model-based clustering using a t-mixture model with
Box-Cox transformation. Note: users should have GSL installed.
Windows users: 'consult the README file available in the inst
directory of the source distribution for necessary
configuration instructions'.
Collate: SetClasses.R SetMethods.R plot.R flowClust.R SimulateMixture.R
mkPriors.R peakMatch.R
License: Artistic-2.0
Packaged: 2016-06-24 01:57:11 UTC; biocbuild
biocViews: Clustering, Visualization, FlowCytometry
SystemRequirements: GNU make
NeedsCompilation: yes

● Data Source: BioConductor
● BiocViews: Clustering, FlowCytometry, Visualization
14 images, 27 functions, 1 datasets
Reverse Depends: 3