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")

Vignettes (Documentation)

Package Downloads

siggenes.pdf

siggenesRnews.pdf

Source	siggenes_1.14.0.tar.gz
Windows binary	siggenes_1.14.0.zip
OS X binary	siggenes_1.14.0.tgz

Details

biocViews	DifferentialExpression , Microarray , SNPsAndGeneticVariability
Depends	methods, multtest, Biobase, splines
Suggests	affy, annotate, genefilter, KernSmooth
Imports
SystemRequirements
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
dependsOnMe
suggestsMe	GeneSelector, XDE, logicFS, oneChannelGUI