This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see fdrame.
Bioconductor version: 3.17
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")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("fdrame")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("fdrame")
Annotation Overview | ||
Reference Manual |
biocViews | DifferentialExpression, Microarray, MultipleComparison, Software |
Version | 1.72.0 |
In Bioconductor since | BioC 1.7 (R-2.2) (18 years) |
License | GPL (>= 2) |
Depends | |
Imports | tcltk, graphics, grDevices, stats, utils |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | fdrame_1.72.0.tar.gz |
Windows Binary | fdrame_1.72.0.zip |
macOS Binary (x86_64) | fdrame_1.72.0.tgz |
macOS Binary (arm64) | fdrame_1.72.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/fdrame |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/fdrame |
Bioc Package Browser | https://code.bioconductor.org/browse/fdrame/ |
Package Short Url | https://bioconductor.org/packages/fdrame/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: