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:

(“//www.andersvercelli.com/biocLite.R”)biocL来源ite("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
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Details

biocViews
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
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Development History Bioconductor Changelog