To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

prada

Data analysis for cell-based functional assays

Bioconductor version: Release (2.14)

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).

Author: Florian Hahne <florian.hahne at novartis.com>, Wolfgang Huber <huber at ebi.ac.uk>, Markus Ruschhaupt, Joern Toedling <toedling at ebi.ac.uk>, Joseph Barry <joseph.barry at embl.de>

Maintainer: Florian Hahne <florian.hahne at novartis.com>

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

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("prada")

 

PDF R Script Combining prada output and cellHTS
PDF R Script Removal of contaminants from FACS data
PDF   Reference Manual

Details

biocViews CellBasedAssays, Software, Visualization
Version 1.40.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier
License LGPL
Depends R (>= 2.10), Biobase, RColorBrewer, grid, methods, rrcov
Imports Biobase, BiocGenerics, graphics, grDevices, grid, MASS, methods, RColorBrewer, rrcov, stats4, utils
Suggests cellHTS, tcltk
System Requirements
URL
Depends On Me cellHTS, domainsignatures, facsDorit, RNAither
Imports Me cellHTS2
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source prada_1.40.0.tar.gz
Windows Binary prada_1.40.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) prada_1.40.0.tgz
Mac OS X 10.9 (Mavericks) prada_1.40.0.tgz
Browse/checkout source (username/password: readonly)
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