DEDS

Differential Expression via Distance Summary for Microarray Data

Bioconductor version: Release (2.7)

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, Jean Yee Hwa Yang .

Maintainer: Yuanyuan Xiao

To install this package, start R and enter:

source("http:///biocLite.R")
biocLite("DEDS")    

Documentation

PDF

R Script

DEDS.pdf

Reference Manual

Details

biocViews	Bioinformatics, Microarray, DifferentialExpression
Depends	R
Imports
Suggests
System Requirements
License	LGPL
URL
Depends On Me
Imports Me
Suggests Me
Version	1.24.0

Package Downloads

Package Source	DEDS_1.24.0.tar.gz
Windows Binary	DEDS_1.24.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	DEDS_1.24.0.tgz
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