Multiple testing using SAM and Efron's empirical Bayes approaches

Bioconductor version: Release (2.11)

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 <holger.schw at>

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PDF R Script siggenes Manual
PDF siggenesRnews.pdf
HTML identify.sam.html
HTML plot.ebam.html
HTML plot.finda0.html
HTML plot.sam.html
HTML print.ebam.html
HTML print.finda0.html
HTML print.sam.html
HTML summary.ebam.html
HTML summary.sam.html
PDF   Reference Manual


biocViews DifferentialExpression, ExonArray, GeneExpression, Microarray, MultipleComparisons, SNP, Software
Version 1.32.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier
License LGPL (>= 2)
Depends methods, Biobase, multtest, splines, graphics
Imports stats4
Suggests affy, annotate, genefilter, KernSmooth, scrime (>= 1.2.5)
System Requirements
Depends On Me KCsmart, oneChannelGUI
Imports Me charm, GeneSelector, minfi
Suggests Me GeneSelector, logicFS, XDE

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Package Source siggenes_1.32.0.tar.gz
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MacOS 10.5 (Leopard) siggenes_1.32.0.tgz
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