mccallm/ternarynet: Ternary Network Estimation

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.

Getting started

Package details

AuthorMatthew N. McCall <>, Anthony Almudevar <>, David Burton <>, Harry Stern <>
Bioconductor views Bayesian CellBiology GraphAndNetwork Network Software
MaintainerMcCall N. Matthew <>
LicenseGPL (>= 2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
mccallm/ternarynet documentation built on Oct. 24, 2021, 4:30 a.m.