Package: ternarynet Version: 1.56.0 Date: 2024-02-19 Title: Ternary Network Estimation Description: 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 , Anthony Almudevar , David Burton , Harry Stern Authors@R: c( person("McCall","Matthew", email="mccallm@gmail.com", role=c("aut","cre")), person("Almudevar","Anthony", email="Anthony_Almudevar@urmc.rochester.edu", role=c("aut")), person("Burton","David", email="David_Burton@urmc.rochester.edu", role=c("aut")), person("Stern","Harry", email="harry.stern@rochester.edu", role=c("aut"))) Depends: R (>= 4.0) Imports: utils, igraph, methods, graphics, stats, BiocParallel Suggests: testthat Enhances: Rmpi, snow License: GPL (>= 2) biocViews: Software, CellBiology, GraphAndNetwork, Network, Bayesian git_url: https://git.bioconductor.org/packages/ternarynet git_branch: master git_last_commit: 6fb06d2 git_last_commit_date: 2020-10-27 NeedsCompilation: yes Packaged: 2026-06-23 06:41:25 UTC; root Maintainer: McCall N. Matthew Config/pak/sysreqs: libglpk-dev libxml2-dev Repository: https://bioc-release.r-universe.dev Date/Publication: 2026-04-28 12:36:17 UTC RemoteUrl: https://github.com/bioc/ternarynet RemoteRef: RELEASE_3_23 RemoteSha: 8a6bb8df77f1c7fb219cfb5e523096b5df31ab99