Skip to main content

Research Repository

Advanced Search

BayesPiles: Visualisation Support for Bayesian Network Structure Learning

Vogogias, Athanasios; Kennedy, Jessie; Archambault, Daniel; Bach, Benjamin; Smith, V. Anne; Currant, Hannah

Authors

Athanasios Vogogias

Daniel Archambault

Benjamin Bach

V. Anne Smith

Hannah Currant



Abstract

We address the problem of exploring, combining and comparing large collections of scored, directed networks for understanding inferred Bayesian networks used in biology. In this feld, heuristic algorithms explore the space of possible network solutions, sampling this space based on algorithm parameters and a network score that encodes the statistical fit to the data. The goal of the analyst is to guide the heuristic search and decide how to determine a final consensus network structure, usually by selecting the top-scoring network or constructing the consensus network from a collection of high-scoring networks. BayesPiles, our visualisation tool, helps with understanding the structure of the solution space and supporting the construction of a final consensus network that is representative of the underlying dataset. BayesPiles builds upon and extends MultiPiles to meet our domain requirements. We developed BayesPiles in conjunction with computational biologists who have used this tool on datasets used in their research. The biologists found our solution provides them with new insights and helps them achieve results that are representative of the underlying data.

Citation

Vogogias, A., Kennedy, J., Archambault, D., Bach, B., Smith, V. A., & Currant, H. (2018). BayesPiles: Visualisation Support for Bayesian Network Structure Learning. ACM transactions on intelligent systems and technology, 10(1), Article 5. https://doi.org/10.1145/3230623

Journal Article Type Article
Acceptance Date Mar 30, 2018
Publication Date Nov 28, 2018
Deposit Date Jun 16, 2018
Publicly Available Date Mar 28, 2024
Journal ACM Transactions on Intelligent Systems and Technology
Print ISSN 2157-6904
Publisher Association for Computing Machinery (ACM)
Peer Reviewed Peer Reviewed
Volume 10
Issue 1
Article Number 5
DOI https://doi.org/10.1145/3230623
Keywords Visualisation, Graphs, Bioinformatics,
Public URL http://researchrepository.napier.ac.uk/Output/1049492

Files

BayesPiles: Visualisation Support for Bayesian Network Structure Learning (3.4 Mb)
PDF

Copyright Statement
© ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version will be published in ACM Transactions on Intelligent Systems Technology, {VOL10, ISS1, 2018-11-28} http://doi.acm.org/10.1145/3230623







You might also like



Downloadable Citations