This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see DEDS.
Bioconductor version: 3.10
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")
):
To install this package, start R (version "3.6") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DEDS")
R Script | DEDS.pdf | |
Reference Manual |
biocViews | DifferentialExpression, Microarray, Software |
Version | 1.60.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 15 years) |
License | LGPL |
Depends | R (>= 1.7.0) |
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Follow Installation instructions to use this package in your R session.
Source Package | DEDS_1.60.0.tar.gz |
Windows Binary | DEDS_1.60.0.zip |
Mac OS X 10.11 (El Capitan) | DEDS_1.60.0.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 | https://bioconductor.org/packages/DEDS/ |
Package Downloads Report | Download Stats |
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