DEDS

Differential Expression via Distance Summary for Microarray Data

Bioconductor version: Development (3.0)

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>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("DEDS")

Documentation

PDF R Script DEDS.pdf
PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software
Version 1.39.0
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 Downloads

Package Source DEDS_1.39.0.tar.gz
Windows Binary DEDS_1.39.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) DEDS_1.39.0.tgz
Mac OS X 10.9 (Mavericks)
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