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.
OCplus
Operating characteristics plus sample size and local fdr for microarray experiments
Bioconductor version: 2.14
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")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("OCplus")
Documentation
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 |
Details
| biocViews | DifferentialExpression, Microarray, MultipleComparison, Software |
| Version | 1.38.0 |
| 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 |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | OCplus_1.38.0.tar.gz |
| Windows Binary | OCplus_1.38.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | OCplus_1.38.0.tgz |
| Mac OS X 10.9 (Mavericks) | OCplus_1.38.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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