Bioconductor version: 2.9
This package allows to characterize the operating characteristics of a microarray experiment, i.e. the trade-off between false discovery rate and the power to detect truly regulated genes. The package includes tools both for planned experiments (for sample size assessment) and for already collected data (identification of differentially expressed genes).
Author: Yudi Pawitan <Yudi.Pawitan at ki.se> and Alexander Ploner <Alexander.Ploner at ki.se>
Maintainer: Alexander Ploner <Alexander.Ploner at ki.se>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("OCplus")
To cite this package in a publication, start R and enter:
citation("OCplus")
R Script | OCplus Introduction | |
Reference Manual |
biocViews | Microarray, Bioinformatics, DifferentialExpression, MultipleComparisons |
Depends | R (>= 2.1.0), akima |
Imports | multtest(>= 1.7.3), graphics, grDevices, stats |
Suggests | |
System Requirements | |
License | LGPL |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Version | 1.28.0 |
Since | Bioconductor 1.8 (R-2.3) |
Package Source | OCplus_1.28.0.tar.gz |
Windows Binary | OCplus_1.28.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | OCplus_1.28.0.tgz |
Package Downloads Report | Download Stats |
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