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 3.4 of Bioconductor; for the stable, up-to-date release version, see prada.

Data analysis for cell-based functional assays

Bioconductor version: 3.4

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:

## 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 R Script Combining prada output and cellHTS2
PDF R Script Removal of contaminants from FACS data
PDF   Reference Manual

Details

biocViews CellBasedAssays, Software, Visualization
Version 1.50.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 12 years)
License LGPL
Depends R (>= 2.10), Biobase, RColorBrewer, grid, methods, rrcov
Imports Biobase, BiocGenerics, graphics, grDevices, grid, MASS, methods, RColorBrewer, rrcov, stats4, utils
LinkingTo
Suggests cellHTS2, tcltk
SystemRequirements
Enhances
URL
Depends On Me 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_1.50.0.tar.gz
Windows Binary prada_1.50.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) prada_1.50.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/prada/tree/release-3.4
Package Short Url http://bioconductor.org/packages/prada/
Package Downloads Report Download Stats

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