To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("fdrame")
In most cases, you don't need to download the package archive at all.
fdrame
FDR adjustments of Microarray Experiments (FDR-AME)
Bioconductor version: 2.14
This package contains two main functions. The first is fdr.ma which takes normalized expression data array, experimental design and computes adjusted p-values It returns the fdr adjusted p-values and plots, according to the methods described in (Reiner, Yekutieli and Benjamini 2002). The second, is fdr.gui() which creates a simple graphic user interface to access fdr.ma
Author: Yoav Benjamini, Effi Kenigsberg, Anat Reiner, Daniel Yekutieli
Maintainer: Effi Kenigsberg <effiken.fdrame at gmail.com>
Citation (from within R,
enter citation("fdrame")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("fdrame")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("fdrame")
| R Script | Annotation Overview | |
| Reference Manual |
Details
| biocViews | DifferentialExpression, Microarray, MultipleComparison, Software |
| Version | 1.36.0 |
| In Bioconductor since | BioC 1.7 (R-2.2) |
| License | GPL (>= 2) |
| Depends | |
| Imports | tcltk, graphics, grDevices, stats, utils |
| 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 | fdrame_1.36.0.tar.gz |
| Windows Binary | fdrame_1.36.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | fdrame_1.36.0.tgz |
| Mac OS X 10.9 (Mavericks) | fdrame_1.36.0.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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