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")
| R Script | Combining prada output and cellHTS2 | |
| R Script | Removal of contaminants from FACS data | |
| 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 |
Documentation »
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