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Interactive Visualization for Patient-to-Patient Comparison
Quang Vinh Nguyen,Guy Nelmes,Mao Lin Huang,Simeon Simoff,Daniel Catchpoole 한국유전체학회 2014 Genomics & informatics Vol.12 No.1
A visual analysis approach and the developed supporting technology provide a comprehensive solution for analyzing largeand complex integrated genomic and biomedical data. This paper presents a methodology that is implemented as aninteractive visual analysis technology for extracting knowledge from complex genetic and clinical data and then visualizingit in a meaningful and interpretable way. By synergizing the domain knowledge into development and analysis processes, wehave developed a comprehensive tool that supports a seamless patient-to-patient analysis, from an overview of the patientpopulation in the similarity space to the detailed views of genes. The system consists of multiple components enabling thecomplete analysis process, including data mining, interactive visualization, analytical views, and gene comparison. Wedemonstrate our approach with medical scientists on a case study of childhood cancer patients on how they use the tool toconfirm existing hypotheses and to discover new scientific insights.