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
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