Package: prada
Version: 1.63.0
Title: Data analysis for cell-based functional assays
Author: Florian Hahne <florian.hahne@novartis.com>, Wolfgang Huber <huber@ebi.ac.uk>, Markus Ruschhaupt, Joern Toedling <toedling@ebi.ac.uk>, Joseph Barry <joseph.barry@embl.de>
Maintainer: Florian Hahne <florian.hahne@novartis.com>
Depends: R (>= 2.10), Biobase, RColorBrewer, grid, methods, rrcov
Suggests: cellHTS2, 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
 microscopy).
License: LGPL
biocViews: ImmunoOncology, CellBasedAssays, Visualization
LazyLoad: yes
git_url: https://git.bioconductor.org/packages/prada
git_branch: master
git_last_commit: 3b9e07e
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: yes
Packaged: 2019-10-29 23:28:15 UTC; biocbuild
Built: R 4.0.0; x86_64-conda_cos6-linux-gnu; 2020-05-10 05:09:58 UTC; unix
