Diversity and evolution of the transcriptional regulatory networks of Pseudomonas strains revealed using machine learning
Heera Bajpe, Ying Hefner, Richard Szubin, Jaemin Sung, Bernhard Ørn Palsson
The paper uses machine learning to compare transcriptional regulatory networks of three Pseudomonas strains, revealing shared and unique regulatory mechanisms across species.
bioRxiv · Jul 20, 2026 · PreprintSystems Biology