DEDS

DOI: 10.18129/B9.bioc.DEDS    

This is the development version of DEDS; for the stable release version, see DEDS.

Differential Expression via Distance Summary for Microarray Data

Bioconductor version: Development (3.11)

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 (version "4.0") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("DEDS")

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

Documentation

PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software
Version 1.61.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 14.5 years)
License LGPL
Depends R (>= 1.7.0)
Imports
LinkingTo
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Enhances
URL
Depends On Me
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Build Report  

Package Archives

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

Source Package
Windows Binary
Mac OS X 10.11 (El Capitan)
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 https://bioconductor.org/packages/DEDS/
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