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 <mccallm@gmail.com>, Anthony Almudevar <Anthony_Alumudevar@urmc.rochester.edu>, David Burton <David_Burton@urmc.rochester.edu>, Harry Stern <harry.stern@rochester.edu>
Bioconductor views Bayesian CellBiology GraphAndNetwork Network Software
MaintainerMcCall N. Matthew <mccallm@gmail.com>
LicenseGPL (>= 2)
Version1.35.3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("mccallm/ternarynet")
mccallm/ternarynet documentation built on April 27, 2021, 10:44 a.m.