DEDS

DOI: 10.18129/B9.bioc.DEDS    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see DEDS.

Differential Expression via Distance Summary for Microarray Data

Bioconductor version: 3.8

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>

Installation

To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("DEDS")

For older versions of R, please refer to the appropriate Bioconductor release.

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	1.56.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 14 years)
License	LGPL
Depends	R (>= 1.7.0)
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Build Report

Package Archives

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

Source Package	DEDS_1.56.0.tar.gz
Windows Binary	DEDS_1.56.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	DEDS_1.56.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/DEDS
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/DEDS
Package Short Url	http://bioconductor.org/packages/DEDS/
Package Downloads Report	Download Stats