vbmp
Variational Bayesian Multinomial Probit Regression
Bioconductor version: 2.9
Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors. It estimates class membership posterior probability employing variational and sparse approximation to the full posterior. This software also incorporates feature weighting by means of Automatic Relevance Determination.
Author: Nicola Lama <nicola.lama at unina2.it>, Mark Girolami <girolami at dcs.gla.ac.uk>
Maintainer: Nicola Lama <nicola.lama at unina2.it>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("vbmp")
To cite this package in a publication, start R and enter:
citation("vbmp")
Documentation
| R Script | vbmp Tutorial | |
| Reference Manual |
Details
| biocViews | Bioinformatics, Classification |
| Depends | R (>= 2.5) |
| Imports | |
| Suggests | Biobase(>= 2.5.5), statmod |
| System Requirements | |
| License | GPL (>= 2) |
| URL | http://bioinformatics.oxfordjournals.org/cgi/content/short/btm535v1 |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.22.0 |
| Since | Bioconductor 2.1 (R-2.6) |
Package Downloads
| Package Source | vbmp_1.22.0.tar.gz |
| Windows Binary | vbmp_1.22.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | vbmp_1.22.0.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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