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

DEDS

Differential Expression via Distance Summary for Microarray Data

Bioconductor version: 2.13

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 itsa.ucsf.edu>, Jean Yee Hwa Yang <jeany at maths.usyd.edu.au>.

Maintainer: Yuanyuan Xiao <yxiao at itsa.ucsf.edu>

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DEDS")

 

PDF	R Script	DEDS.pdf
PDF		Reference Manual

Details

biocViews	Bioinformatics, DifferentialExpression, Microarray, Software
Version	1.36.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier
License	LGPL
Depends	R (>= 1.7.0)
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Package Source	DEDS_1.36.0.tar.gz
Windows Binary	DEDS_1.36.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	DEDS_1.36.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats