ptrcksn/BINDER: BayesIan gene regulatory Networks inferreD via gene coExpression and compaRative genomics

BINDER infers gene regulatory networks by constructing two strata: a primary stratum and an auxiliary stratum. The primary stratum is composed of coexpression data from a primary organism of interest and is supplemented by auxiliary data in the form of motif predictions and known orthologous regulator-target interactions from a proxy organism. BINDER implements a Bayesian hierarchical model that appositely models the type and structure of both this primary and auxiliary data to infer the probability of a regulatory interaction between a regulator-target candidate pair. The auxiliary data inform the prior distributions and the posterior distributions are updated by accounting for the primary coexpression data in a novel, apposite bivariate likelihood function.

Getting started

Package details

Maintainer
LicenseGPL-3
Version1.0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("ptrcksn/BINDER")
ptrcksn/BINDER documentation built on Nov. 5, 2019, 1:56 a.m.