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ternarynet

Ternary Network Estimation

Bioconductor version: 3.23 · Package version: 1.56.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ternarynet")

Details

MaintainerMcCall N. Matthew <mccallm@gmail.com>
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>
LicenseGPL (>= 2)
Downloads rank291
Source branchRELEASE_3_23
biocViewsBayesian, CellBiology, GraphAndNetwork, Network, Software

Documentation

Download

Dependencies

Depends: R (>= 4.0)

Imports: utils, igraph, methods, graphics, stats, BiocParallel

Suggests: testthat

Enhances: Rmpi, snow