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http://dx.doi.org/10.5808/GI.2014.12.1.21

Interactive Visualization for Patient-to-Patient Comparison  

Nguyen, Quang Vinh (MARCS Institute & School of Computing, Engineering and Mathematics, University of Western Sydney)
Nelmes, Guy (The Kids Research Institute, The Children's Hospital at Westmead)
Huang, Mao Lin (School of Software, Faculty of Engineering & IT, University of Technology)
Simoff, Simeon (MARCS Institute & School of Computing, Engineering and Mathematics, University of Western Sydney)
Catchpoole, Daniel (The Kids Research Institute, The Children's Hospital at Westmead)
Publication Information
Genomics & Informatics / v.12, no.1, 2014 , pp. 21-34 More about this Journal
Abstract
A visual analysis approach and the developed supporting technology provide a comprehensive solution for analyzing large and complex integrated genomic and biomedical data. This paper presents a methodology that is implemented as an interactive visual analysis technology for extracting knowledge from complex genetic and clinical data and then visualizing it in a meaningful and interpretable way. By synergizing the domain knowledge into development and analysis processes, we have developed a comprehensive tool that supports a seamless patient-to-patient analysis, from an overview of the patient population in the similarity space to the detailed views of genes. The system consists of multiple components enabling the complete analysis process, including data mining, interactive visualization, analytical views, and gene comparison. We demonstrate our approach with medical scientists on a case study of childhood cancer patients on how they use the tool to confirm existing hypotheses and to discover new scientific insights.
Keywords
data display; genomic visualization; interactive visualization; precursor cell lymphoblastic leukemia-lymphoma; visual analytics; visualization;
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