To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("OCplus")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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>
Citation (from within R,
enter citation("OCplus")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("OCplus")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("OCplus")
R Script | OCplus Introduction | |
Reference Manual |
biocViews | Bioinformatics, DifferentialExpression, Microarray, MultipleComparisons, Software |
Version | 1.36.0 |
In Bioconductor since | BioC 1.8 (R-2.3) |
License | LGPL |
Depends | R (>= 2.1.0), akima |
Imports | multtest(>= 1.7.3), graphics, grDevices, stats |
Suggests | |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | OCplus_1.36.0.tar.gz |
Windows Binary | OCplus_1.36.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | OCplus_1.36.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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