Last data update: 2014.03.03

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prada : Data analysis for cell-based functional assays

Package: prada
Version: 1.48.0
Title: Data analysis for cell-based functional assays
Author: Florian Hahne <>, Wolfgang Huber <>, Markus Ruschhaupt, Joern Toedling <>, Joseph Barry <>
Maintainer: Florian Hahne <>
Depends: R (>= 2.10), Biobase, RColorBrewer, grid, methods, rrcov
Suggests: cellHTS, tcltk
Imports: Biobase, BiocGenerics, graphics, grDevices, grid, MASS,
methods, RColorBrewer, rrcov, stats4, utils
Collate: AllGenerics.R AllClasses.R methods-cytoFrame.R
methods-cytoSet.R methods-gate.R methods-gateSet.R
methods-misc.R analysePlate.R as.all.R barploterrbar.R
combineFrames.R csApply.R combineGates.R cytoFunctions.R
fitNorm2.R gateMatrix.R getPradaPar.R plotNorm2.R plotPlate.R
readCytoSet.R readFCS.R readSDM.R removeCensored.R thresholds.R
touchFCS.R tcltkProgress.R getAlphanumeric.R
Description: Tools for analysing and navigating data from high-throughput phenotyping experiments
based on cellular assays and fluorescent detection (flow cytometry (FACS), high-content screening
License: LGPL
biocViews: CellBasedAssays, Visualization
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2016-05-04 02:41:38 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CellBasedAssays, Visualization
13 images, 26 functions, 2 datasets
Reverse Depends: 3