To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("DEDS")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see DEDS.
Bioconductor version: 3.4
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 and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("DEDS")
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 | 1.48.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 12 years) |
License | LGPL |
Depends | R (>= 1.7.0) |
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Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | DEDS_1.48.0.tar.gz |
Windows Binary | DEDS_1.48.0.zip (32- & 64-bit) |
Mac OS X 10.9 (Mavericks) | DEDS_1.48.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/DEDS/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/DEDS/ |
Package Downloads Report | Download Stats |
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