GRENITS
Gene Regulatory Network Inference Using Time Series
Bioconductor version: 3.24 · Package version: 1.65.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GRENITS") Details
| Maintainer | Edward Morrissey <edward.morrissey@gmail.com> |
| Author | Edward Morrissey |
| License | GPL (>= 2) |
| Downloads rank | 403 |
| Source branch | devel |
| biocViews | Bayesian, GeneExpression, GeneRegulation, GraphAndNetwork, Network, NetworkInference, Software, TimeCourse |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | GRENITS_1.65.0.tar.gz |
| Windows binary (x86_64) | GRENITS_1.65.0.zip |
| macOS binary (arm64) | GRENITS_1.65.0.tgz |
| macOS binary (x86_64) | GRENITS_1.65.0.tgz |
Dependencies
Depends: R (>= 2.12.0), Rcpp (>= 0.8.6), RcppArmadillo (>= 0.2.8), ggplot2 (>= 0.9.0)
Imports: graphics, grDevices, reshape2, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: network