DEDS

DOI: 10.18129/B9.bioc.DEDS    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see DEDS.

Differential Expression via Distance Summary for Microarray Data

Bioconductor version: 3.7

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 <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:

## try http:// if https:// URLs are not supported
source("https://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	1.54.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 13.5 years)
License	LGPL
Depends	R (>= 1.7.0)
Imports
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Package Archives

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

Source Package	DEDS_1.54.0.tar.gz
Windows Binary	DEDS_1.54.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	DEDS_1.54.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/DEDS
Source Repository (Developer Access)	git clone [email protected]:packages/DEDS
Package Short Url	http://bioconductor.org/packages/DEDS/
Package Downloads Report	Download Stats