Bioconductor version: Release (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>
To install this package, start R and enter:
To cite this package in a publication, start R and enter:
|biocViews||Bioinformatics, DifferentialExpression, Microarray, Software|
|In Bioconductor since||BioC 1.6 (R-2.1) or earlier|
|Depends||R (>= 1.7.0)|
|Depends On Me|
|Windows Binary||DEDS_1.36.0.zip (32- & 64-bit)|
|Mac OS X 10.6 (Snow Leopard)||DEDS_1.36.0.tgz|
|Package Downloads Report||Download Stats|
Common Bioconductor workflows include: