To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("prada")

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

prada

This package is for version 2.10 of Bioconductor; for the stable, up-to-date release version, see prada.

Data analysis for cell-based functional assays

Bioconductor version: 2.10

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>

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

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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 Combining prada output and cellHTS
PDF Removal of contaminants from FACS data
PDF Reference Manual

Details

biocViews CellBasedAssays, Software, Visualization
Version 1.32.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 11 years)
License LGPL
Depends R (>= 2.10.0), Biobase, RColorBrewer, grid, methods, rrcov
Imports Biobase, BiocGenerics, graphics, grDevices, grid, MASS, methods, RColorBrewer, rrcov, stats4, utils
LinkingTo
Suggests cellHTS, tcltk
SystemRequirements
Enhances
URL http://www.dkfz.de/mga/whuber http://www.dkfz.de/LIFEdb
Depends On Me cellHTS, domainsignatures, facsDorit, RNAither
Imports Me cellHTS2
Suggests Me
Build Report

Package Archives

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

Package Source prada_1.32.0.tar.gz
Windows Binary prada_1.32.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/prada/tree/release-2.10
Package Short Url http://bioconductor.org/packages/prada/
Package Downloads Report Download Stats

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