 
  
 
   
   This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see ternarynet.
Bioconductor version: 3.13
Gene-regulatory network (GRN) modeling seeks to infer dependencies between genes and thereby provide insight into the regulatory relationships that exist within a cell. This package provides a computational Bayesian approach to GRN estimation from perturbation experiments using a ternary network model, in which gene expression is discretized into one of 3 states: up, unchanged, or down). The ternarynet package includes a parallel implementation of the replica exchange Monte Carlo algorithm for fitting network models, using MPI.
Author: Matthew N. McCall <mccallm at gmail.com>, Anthony Almudevar <Anthony_Alumudevar at urmc.rochester.edu>, David Burton <David_Burton at urmc.rochester.edu>, Harry Stern <harry.stern at rochester.edu>
Maintainer: McCall N. Matthew <mccallm at gmail.com>
Citation (from within R,
      enter citation("ternarynet")):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("ternarynet")
    For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ternarynet")
    
| R Script | ternarynet: A Computational Bayesian Approach to Ternary Network Estimation | |
| Reference Manual | ||
| Text | NEWS | 
| biocViews | Bayesian, CellBiology, GraphAndNetwork, Network, Software | 
| Version | 1.36.0 | 
| In Bioconductor since | BioC 2.10 (R-2.15) (9.5 years) | 
| License | GPL (>= 2) | 
| Depends | R (>= 4.0) | 
| Imports | utils, igraph, methods, graphics, stats, BiocParallel | 
| LinkingTo | |
| Suggests | testthat | 
| SystemRequirements | |
| Enhances | Rmpi, snow | 
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | ternarynet_1.36.0.tar.gz | 
| Windows Binary | ternarynet_1.36.0.zip | 
| macOS 10.13 (High Sierra) | ternarynet_1.36.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/ternarynet | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/ternarynet | 
| Package Short Url | https://bioconductor.org/packages/ternarynet/ | 
| Package Downloads Report | Download Stats | 
 
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