DEDS

Differential Expression via Distance Summary for Microarray Data

Bioconductor version: 2.5

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, methods
Imports
Suggests
System Requirements
License	LGPL
URL
Depends On Me
Imports Me
Suggests Me
Version	1.20.0

Package Downloads

Package Source	DEDS_1.20.0.tar.gz
Windows Binary	DEDS_1.20.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	DEDS_1.20.0.tgz
Package Downloads Report	Download Stats