lapmix
Laplace Mixture Model in Microarray Experiments
Bioconductor version: 2.6
Laplace mixture modelling of microarray experiments. A hierarchical Bayesian approach is used, and the hyperparameters are estimated using empirical Bayes. The main purpose is to identify differentially expressed genes.
Author: Yann Ruffieux, contributions from Debjani Bhowmick, Anthony C. Davison, and Darlene R. Goldstein
Maintainer: Yann Ruffieux <yann.ruffieux at epfl.ch>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("lapmix")
To cite this package in a publication, start R and enter:
citation("lapmix")
Documentation
| R Script | lapmix example | |
| Reference Manual |
Details
| biocViews | Bioinformatics, Microarray, OneChannel, DifferentialExpression |
| Depends | R (>= 2.6.0), stats |
| Imports | Biobase, graphics, grDevices, methods, stats, tools, utils |
| Suggests | |
| System Requirements | |
| License | GPL (>= 2) |
| URL | http://www.r-project.org, http://www.bioconductor.org, http://stat.epfl.ch |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.14.0 |
| Since | Bioconductor 1.9 (R-2.4) |
Package Downloads
| Package Source | lapmix_1.14.0.tar.gz |
| Windows Binary | lapmix_1.14.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | lapmix_1.14.0.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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