betr
Identify differentially expressed genes in microarray time-course data
Bioconductor version: 2.6
The \pkg{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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("betr")
To cite this package in a publication, start R and enter:
citation("betr")
Documentation
| R Script | BETR Vignette | |
| Reference Manual |
Details
| biocViews | Microarray, Bioinformatics, DifferentialExpression, TimeCourse |
| Depends | R(>= 2.6.0) |
| Imports | Biobase(>= 2.5.5), limma, mvtnorm, methods, stats |
| Suggests | Biobase |
| System Requirements | |
| License | LGPL |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.4.0 |
| Since | Bioconductor 2.4 (R-2.9) |
Package Downloads
| Package Source | betr_1.4.0.tar.gz |
| Windows Binary | betr_1.4.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | betr_1.4.0.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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