To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BGmix")
In most cases, you don't need to download the package archive at all.
BGmix
Bayesian models for differential gene expression
Bioconductor version: 2.14
Fully Bayesian mixture models for differential gene expression
Author: Alex Lewin, Natalia Bochkina
Maintainer: Alex Lewin <a.m.lewin at imperial.ac.uk>
Citation (from within R,
enter citation("BGmix")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BGmix")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BGmix")
| R Script | BGmix Tutorial | |
| Reference Manual |
Details
| biocViews | DifferentialExpression, Microarray, MultipleComparison, Software |
| Version | 1.24.0 |
| In Bioconductor since | BioC 2.2 (R-2.7) |
| License | GPL-2 |
| Depends | R (>= 2.3.1), KernSmooth |
| Imports | |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | BGmix_1.24.0.tar.gz |
| Windows Binary | |
| Mac OS X 10.6 (Snow Leopard) | BGmix_1.24.0.tgz |
| Mac OS X 10.9 (Mavericks) | BGmix_1.24.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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