title: Interactive Visualization for Patient-to-Patient Comparison.
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.
authors.affiliation: MARCS Institute & School of Computing, Engineering and Mathematics, University of Western Sydney, South Penrith DC, NSW 1979, Australia.
authors.forename: Quang Vinh
authors.initials: QV
authors.lastname: Nguyen
authors.affiliation: The Kids Research Institute, The Children's Hospital at Westmead, Westmead, NSW 2145, Australia.
authors.forename: Guy
authors.initials: G
authors.lastname: Nelmes
authors.affiliation: School of Software, Faculty of Engineering & IT, University of Technology, Sydney, NSW 2007, Australia.
authors.forename: Mao Lin
authors.initials: ML
authors.lastname: Huang
authors.affiliation: MARCS Institute & School of Computing, Engineering and Mathematics, University of Western Sydney, South Penrith DC, NSW 1979, Australia.
authors.forename: Simeon
authors.initials: S
authors.lastname: Simoff
authors.affiliation: The Kids Research Institute, The Children's Hospital at Westmead, Westmead, NSW 2145, Australia.
authors.forename: Daniel
authors.initials: D
authors.lastname: Catchpoole
keywords: data display; genomic visualization; interactive visualization; precursor cell lymphoblastic leukemia-lymphoma; visual analytics; visualization
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