BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks
Abstract
BayesSuites is the first web framework for learning, visualizing, and interpreting Bayesian networks that can scale to tens of thousands of nodes while providing fast and friendly user experience. BayesSuites solves the problems of scalability, extensibility and interpretability that massive networks bring by separating backend calculations from the frontend interface and using specialized learning algorithms for massive networks. We demonstrate the tool by learning and visualizing a genome-wide gene regulatory network from human brain data with 20,708 nodes.
Cite
Text
Bernaola et al. "BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks." Proceedings of pgm 2020, 2020.Markdown
[Bernaola et al. "BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks." Proceedings of pgm 2020, 2020.](https://mlanthology.org/pgm/2020/bernaola2020pgm-bayessuites/)BibTeX
@inproceedings{bernaola2020pgm-bayessuites,
title = {{BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks}},
author = {Bernaola, Nikolas and Michiels, Mario and Bielza, Concha and Larrañaga, Pedro},
booktitle = {Proceedings of pgm 2020},
year = {2020},
pages = {593-596},
volume = {138},
url = {https://mlanthology.org/pgm/2020/bernaola2020pgm-bayessuites/}
}