Bioconductor version: 2.9
The package offers four network inference statistical models using Dynamic Bayesian Networks and Gibbs Variable Selection: a linear interaction model, two linear interaction models with added experimental noise (Gaussian and Student distributed) for the case where replicates are available and a non-linear interaction model.
Author: Edward Morrissey
Maintainer: Edward Morrissey <edward.morrissey at gmail.com>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("GRENITS")
To cite this package in a publication, start R and enter:
citation("GRENITS")
R Script | GRENITS | |
Reference Manual | ||
Text | NEWS |
biocViews | Bioinformatics, TimeCourse, GraphsAndNetworks |
Depends | R (>= 2.12.0), Rcpp (>= 0.8.6), RcppArmadillo (>= 0.2.8), ggplot2 |
Imports | graphics, grDevices, reshape, stats, utils |
Suggests | network |
System Requirements | |
License | GPL (>= 2) |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Version | 1.6.0 |
Since | Bioconductor 2.9 (R-2.14) |
Package Source | GRENITS_1.6.0.tar.gz |
Windows Binary | GRENITS_1.6.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | GRENITS_1.6.0.tgz |
Package Downloads Report | Download Stats |
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