Visual analytics of clinical and genetic datasets of acute lymphoblastic leukaemia

Authors:
Quang Vinh Nguyen;Andrew Gleeson;Nicholas Ho;Mao Lin Huang;Simeon Simoff;Daniel Catchpoole
Affiliations:
School of Computing and Mathematics, University of Western Sydney, Australia;School of Computing and Mathematics, University of Western Sydney, Australia;The Kids Research Institute, Children's Hospital at Westmead, Australia;Faculty of Engineering & IT, University of Technology, Sydney, Australia;School of Computing and Mathematics, University of Western Sydney, Australia;The Kids Research Institute, Children's Hospital at Westmead, Australia
Venue:
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
Year:
2011

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Visualization

Abstract

This paper presents a novel visual analytics method that incorporates knowledge from the analysis domain so that it can extract knowledge from complex genetic and clinical data and then visualizing them in a meaningful and interpretable way. The domain experts that are both contributors to formulating the requirements for the design of the system and the actual user of the system include microbiologists, biostatisticians, clinicians and computational biologists. A comprehensive prototype has been developed to support the visual analytics process. The system consists of multiple components enabling the complete analysis process, including data mining, interactive visualization, analytical views, gene comparison. A visual highlighting method is also implemented to support the decision making process. The paper demonstrates its effectiveness on a case study of childhood cancer patients.