To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("betr")
In most cases, you don't need to download the package archive at all.
betr
|
This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see betr.
Identify differentially expressed genes in microarray time-course data
Bioconductor version: 3.2
The betr package implements the BETR (Bayesian Estimation of Temporal Regulation) algorithm to identify differentially expressed genes in microarray time-course data.
Author: Martin Aryee
Maintainer: Martin Aryee <aryee at jhu.edu>
Citation (from within R,
enter citation("betr")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("betr")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("betr")
| BETR Vignette | ||
| Reference Manual |
Details
| biocViews | DifferentialExpression, Microarray, Software, TimeCourse |
| Version | 1.26.0 |
| In Bioconductor since | BioC 2.4 (R-2.9) (7 years) |
| License | LGPL |
| Depends | R (>= 2.6.0) |
| Imports | Biobase(>= 2.5.5), limma, mvtnorm, methods, stats |
| LinkingTo | |
| Suggests | Biobase |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | betr_1.26.0.tar.gz |
| Windows Binary | betr_1.26.0.zip |
| Mac OS X 10.6 (Snow Leopard) | betr_1.26.0.tgz |
| Mac OS X 10.9 (Mavericks) | betr_1.26.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/betr/tree/release-3.2 |
| Package Short Url | http://bioconductor.org/packages/betr/ |
| Package Downloads Report | Download Stats |
Documentation »
Bioconductor
- Package vignettes and manuals.
- Workflows for learning and use.
- Course and conference material.
- Videos.
- Community resources and tutorials.
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations:
- Support site - for questions about Bioconductor packages
- Bioc-devel mailing list - for package developers
