Preparing, exploring and comparing cancer simulation results within a large parameter space

Lunzer, A; Belleman, R; Melis, P; Stamatakos, G

dc.contributor.author	Lunzer, A	en
dc.contributor.author	Belleman, R	en
dc.contributor.author	Melis, P	en
dc.contributor.author	Stamatakos, G	en
dc.date.accessioned	2014-03-01T02:46:56Z
dc.date.available	2014-03-01T02:46:56Z
dc.date.issued	2010	en
dc.identifier.issn	10939547	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32948
dc.subject	In silico oncology	en
dc.subject	Multiple views	en
dc.subject	Result-space exploration	en
dc.subject	Subjunctive interfaces	en
dc.subject.other	Grid-based system	en
dc.subject.other	In silico oncology	en
dc.subject.other	Multiple views	en
dc.subject.other	Parameter spaces	en
dc.subject.other	Simulation code	en
dc.subject.other	Simulation result	en
dc.subject.other	Space explorations	en
dc.subject.other	Subjunctive interfaces	en
dc.subject.other	Visual investigation	en
dc.subject.other	Visualisation	en
dc.subject.other	Oncology	en
dc.subject.other	Space research	en
dc.subject.other	Visualization	en
dc.title	Preparing, exploring and comparing cancer simulation results within a large parameter space	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IV.2010.46	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IV.2010.46	en
heal.identifier.secondary	5571267	en
heal.publicationDate	2010	en
heal.abstract	The ACGT Oncosimulator is an integrated Grid-based system, under development within a 25-partner European-Japanese project, for patient-specific simulation of the response of a tumour and surrounding tissue to various forms of therapy. The validation of the simulation code is an activity requiring extensive human-driven visual investigation of the influence of each of the dozens of parameters to the code, and comparison of the simulation results against the known outcomes of past patient treatments. This activity therefore calls for a visualisation environment that supports users in working with an extremely large potential result space, and in rapidly setting up visualisations that highlight the differences between chosen subsets of available results. We describe the innovative features of the OncoRecipeSheet, an environment designed to meet these requirements. © 2010 IEEE.	en
heal.journalName	Proceedings of the International Conference on Information Visualisation	en
dc.identifier.doi	10.1109/IV.2010.46	en
dc.identifier.spage	258	en
dc.identifier.epage	264	en