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.
DEDS
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Differential Expression via Distance Summary for Microarray Data
Bioconductor version: Release (3.5)
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 and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("DEDS")
Documentation
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 |
Details
| biocViews | DifferentialExpression, Microarray, Software |
| Version | 1.50.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 12.5 years) |
| License | LGPL |
| Depends | R (>= 1.7.0) |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
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| Imports Me | |
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| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | DEDS_1.50.0.tar.gz |
| Windows Binary | DEDS_1.50.0.zip (32- & 64-bit) |
| Mac OS X 10.11 (El Capitan) | DEDS_1.50.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/DEDS |
| Package Short Url | http://bioconductor.org/packages/DEDS/ |
| Package Downloads Report | Download Stats |
Documentation »
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