To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

DEDS

 

Differential Expression via Distance Summary for Microarray Data

Bioconductor version: Release (3.1)

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>

Citation (from within R, enter citation("DEDS")):

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 DifferentialExpression, Microarray, Software
Version 1.42.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 10 years)
License LGPL
Depends R (>= 1.7.0)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source DEDS_1.42.0.tar.gz
Windows Binary DEDS_1.42.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) DEDS_1.42.0.tgz
Mac OS X 10.9 (Mavericks) DEDS_1.42.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/DEDS/tree/release-3.1
Package Short Url http://bioconductor.org/packages/DEDS/
Package Downloads Report Download Stats

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