DEDS

Differential Expression via Distance Summary for Microarray Data

Bioconductor version: 2.8

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 Bioinformatics, Microarray, DifferentialExpression
Depends R (>= 1.7.0)
Imports
Suggests
System Requirements
License LGPL
URL
Depends On Me
Imports Me
Suggests Me
Version 1.26.0
Since Bioconductor 1.6 (R-2.1) or earlier

Package Downloads

Package Source DEDS_1.26.0.tar.gz
Windows Binary DEDS_1.26.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary DEDS_1.26.0.tgz
Package Downloads Report Download Stats

Workflows »

Common Bioconductor workflows include:

 

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center