prada

This package is for version 3.7 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see prada.

Data analysis for cell-based functional assays


Bioconductor version: 3.7

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 (version "3.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("prada")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("prada")
Combining prada output and cellHTS2 PDF R Script
Removal of contaminants from FACS data PDF R Script
Reference Manual PDF

Details

biocViews CellBasedAssays, Software, Visualization
Version 1.56.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 19 years)
License LGPL
Depends R (>= 2.10), Biobase, RColorBrewer, grid, methods, rrcov
Imports Biobase, BiocGenerics, graphics, grDevices, grid, MASS, methods, RColorBrewer, rrcov, stats4, utils
System Requirements
URL
See More
Suggests cellHTS2, tcltk
Linking To
Enhances
Depends On Me facsDorit, RNAither
Imports Me cellHTS2
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package prada_1.56.0.tar.gz
Windows Binary prada_1.56.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) prada_1.56.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/prada
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/prada
Package Short Url https://bioconductor.org/packages/prada/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.7 Source Archive