Differential Expression via Distance Summary for Microarray Data

Bioconductor version: 2.8

This library contains functions that calculate various statistics of differential expression for microarray data, including t statistics, fold change, F statistics, SAM, moderated t and F statistics and B statistics. It also implements a new methodology called DEDS (Differential Expression via Distance Summary), which selects differentially expressed genes by integrating and summarizing a set of statistics using a weighted distance approach.

Author: Yuanyuan Xiao <yxiao at>, Jean Yee Hwa Yang <jeany at>.

Maintainer: Yuanyuan Xiao <yxiao at>

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PDF R Script DEDS.pdf
PDF   Reference Manual


biocViews Bioinformatics, Microarray, DifferentialExpression
Depends R (>= 1.7.0)
System Requirements
License LGPL
Depends On Me
Imports Me
Suggests Me
Version 1.26.0
Since Bioconductor 1.6 (R-2.1) or earlier

Package Downloads

Package Source DEDS_1.26.0.tar.gz
Windows Binary (32- & 64-bit)
MacOS 10.5 (Leopard) binary DEDS_1.26.0.tgz
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