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 |
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("lapmix")
| lapmix example | R Script | |
|---|---|---|
| Reference Manual |
| biocViews | |
|---|---|
| Depends |
R
,
stats
|
| Imports |
Biobase
,
graphics
,
grDevices
,
methods
,
stats
,
tools
,
utils
|
| Suggests | |
| System Requirements | |
| License | GPL version 2 or newer |
| URL | http://www.r-project.org, http://www.bioconductor.org, http://stat.epfl.ch |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Development History | Bioconductor Changelog |
| Package source | lapmix_1.10.0.tar.gz |
|---|---|
| Windows binary | lapmix_1.10.0.zip |
| MacOS X 10.4 (Tiger) binary | lapmix_1.10.0.tgz |
| MacOS X 10.5 (Leopard) binary | lapmix_1.10.0.tgz |
| Package Downloads Report | Downloads Stats |