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Bioconductor - ternarynet

This is the released version of ternarynet; for the devel version, see ternarynet.

Bioconductor version: Release (3.21)

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>

To install this package, start R (version "4.5") and enter:

if (!require("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")

Follow Installation instructions to use this package in your R session.

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