NeuroSuites-BNs: An open web framework for massive Bayesian networks focused on neuroscience [article]

Mario Michiels, Pedro Larrañaga, Concha Bielza
2020 bioRxiv   pre-print
NeuroSuites-BNs is the first web framework for learning, visualizing, and interpreting Bayesian networks (BNs) that can scale to tens of thousands of nodes while providing fast and friendly user experience. All the necessary features that enable this are reviewed in this paper; these features include scalability, extensibility, interoperability, ease of use, and interpretability. Scalability is the key factor in learning and processing massive networks within reasonable time; for a maintainable
more » ... software open to new functionalities, extensibility and interoperability are necessary. Ease of use and interpretability are fundamental aspects of model interpretation, fairly similar to the case of the recent explainable artificial intelligence trend. We present the capabilities of our proposed framework by highlighting a real example of a BN learned from genomic data obtained from Allen Institute for Brain Science. The extensibility properties of the software are also demonstrated with the help of our BN-based probabilistic clustering implementation, together with another genomic-data example.
doi:10.1101/2020.02.04.934174 fatcat:kt2jyyurdjcclogaohiv4hdeya