HamdaBinteAjmal/DBN4GRN: An R Package for Learning Sparse DBN Structures to Reverse Engineer Gene Regulatory Networks

Learn the structure of dynamic Bayesian networks from time series data using different scoring objectives, the BIC score, Score_Lasso and Score_LOPC with exhaustive search and greedy hill climbing search to maximise the scoring objective. It can also be used with any user defined scoring objective.

Getting started

Package details

AuthorHamda Ajmal [aut, cre], Michael Madden [aut]
MaintainerHamda Ajmal <h.ajmal1@nuigalway.ie>
LicenseGPL-3.0-or-later
Version1.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("HamdaBinteAjmal/DBN4GRN")
HamdaBinteAjmal/DBN4GRN documentation built on Dec. 27, 2021, 2:08 p.m.