DEDS
Differential Expression via Distance Summary for Microarray Data
Bioconductor version: 2.10
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("DEDS")
To cite this package in a publication, start R and enter:
citation("DEDS")
Documentation
| R Script | DEDS.pdf | |
| Reference Manual |
Details
| biocViews | Bioinformatics, DifferentialExpression, Microarray, Software |
| Depends | R (>= 1.7.0) |
| Imports | |
| Suggests | |
| System Requirements | |
| License | LGPL |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.30.0 |
| Since | Bioconductor 1.6 (R-2.1) or earlier |
Package Downloads
| Package Source | DEDS_1.30.0.tar.gz |
| Windows Binary | DEDS_1.30.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | DEDS_1.30.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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