Causal assessment of gene regulatory network in single-cell transcriptomics data based on Bayesian networks
Noriaki Sato, Marco Scutari, Seiya Imoto
The paper introduces scstruc, an R package for learning and evaluating Bayesian networks from single-cell transcriptomics data to infer causal gene regulatory relationships.