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BayesPiles, our visualisation tool, helps with understanding the structure of the solution space and supporting the construction of a nal consensus network that is representative of the underlying dataset ... We address the problem of exploring, combining and comparing large collections of scored, directed networks for understanding inferred Bayesian networks used in biology. ... ACKNOWLEDGMENTS We would like to thank Edinburgh Napier University for funding this PhD work. ...doi:10.1145/3230623 fatcat:vwu2n53jtze5fiyk7a4pkgcqwe
The best encodings were integrated into a visual analytics tool for inferring dynamic Bayesian networks and evaluated by computational biologists for additional evidence. ... ABSTRACT This paper reports on a formal user study on visual encodings of networks with multiple edge types in adjacency matrices. ... The final two designs were implemented in BayesPiles  , a tool to provide visualisation support for Bayesian network inference, and evaluated by computational biology experts. ...doi:10.1145/3399715.3399827 dblp:conf/avi/VogogiasABK20 fatcat:k4iguksr6rfuxnjym2i7vfq2au
Dagstuhl Seminar 18161 "Visualization of Biological Data -Crossroads" was to bring together researchers from all three fields, to identify opportunities and challenges, and to develop a path forward for ... Acknowledgements We would like to thank all participants of the seminar for their contributions and lively discussions; we also would like to thank the scientific directorate of Dagstuhl for providing ... We have created Bayespiles which is adapted from small multipiles, a matrix based visualisation of many networks which piles and summarises networks. ...doi:10.4230/dagrep.8.4.32 dblp:journals/dagstuhl-reports/AertsGMN18 fatcat:o6jaaovvkbb35djgwvgaqlvnmm