siggenes

Multiple testing using SAM and Efron's empirical Bayes approaches

Identification of differentially expressed genes and estimation of the False Discovery Rate (FDR) using both the Significance Analysis of Microarrays (SAM) and the Empirical Bayes Analyses of Microarrays (EBAM).

Author	Holger Schwender
Maintainer	Holger Schwender

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("siggenes")

Documentation

Package Downloads

siggenes Manual

siggenesRnews.pdf

Reference Manual

Package source	siggenes_1.16.0.tar.gz
Windows binary	siggenes_1.16.0.zip
MacOS X 10.4 (Tiger) binary	siggenes_1.16.0.tgz
MacOS X 10.5 (Leopard) binary	siggenes_1.16.0.tgz
Package Downloads Report	Downloads Stats

Details

biocViews	DifferentialExpression , Microarray , SNPsAndGeneticVariability
Depends	methods , multtest , Biobase , splines
Imports
Suggests	affy , annotate , genefilter , KernSmooth
System Requirements
License	Free for non-commercial use. Non-academic users MUST have a valid license for the full (Excel) version of the SAM software programmed at Stanford University, see http://www-stat.stanford.edu/~tibs/SAM/index.html
URL
Depends On Me
Imports Me
Suggests Me	GeneSelector , XDE , logicFS , oneChannelGUI
Development History	Bioconductor Changelog