To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("DEDS")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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:
source("http://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 | Bioinformatics, DifferentialExpression, Microarray, Software |
Version | 1.36.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier |
License | LGPL |
Depends | R (>= 1.7.0) |
Imports | |
Suggests | |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | DEDS_1.36.0.tar.gz |
Windows Binary | DEDS_1.36.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | DEDS_1.36.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!