Interactive Visualization for Patient-to-Patient Comparison
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korea Genome Organization
2014-03-01
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| Series: | Genomics & Informatics |
| Subjects: | |
| Online Access: | http://genominfo.org/upload/pdf/gni-12-21.pdf |
| _version_ | 1811330996986970112 |
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| author | Quang Vinh Nguyen Guy Nelmes Mao Lin Huang Simeon Simoff Daniel Catchpoole |
| author_facet | Quang Vinh Nguyen Guy Nelmes Mao Lin Huang Simeon Simoff Daniel Catchpoole |
| author_sort | Quang Vinh Nguyen |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T16:12:11Z |
| format | Article |
| id | doaj.art-c2df6ff0d4194b96a6a9089cc3492804 |
| institution | Directory Open Access Journal |
| issn | 1598-866X 2234-0742 |
| language | English |
| last_indexed | 2024-04-13T16:12:11Z |
| publishDate | 2014-03-01 |
| publisher | Korea Genome Organization |
| record_format | Article |
| series | Genomics & Informatics |
| spelling | doaj.art-c2df6ff0d4194b96a6a9089cc34928042022-12-22T02:40:11ZengKorea Genome OrganizationGenomics & Informatics1598-866X2234-07422014-03-01121213410.5808/GI.2014.12.1.21110Interactive Visualization for Patient-to-Patient ComparisonQuang Vinh Nguyen0Guy Nelmes1Mao Lin Huang2Simeon Simoff3Daniel Catchpoole4MARCS Institute & School of Computing, Engineering and Mathematics, University of Western Sydney, South Penrith DC, NSW 1979, Australia.The Kids Research Institute, The Children's Hospital at Westmead, Westmead, NSW 2145, Australia.School of Software, Faculty of Engineering & IT, University of Technology, Sydney, NSW 2007, Australia.MARCS Institute & School of Computing, Engineering and Mathematics, University of Western Sydney, South Penrith DC, NSW 1979, Australia.The Kids Research Institute, The Children's Hospital at Westmead, Westmead, NSW 2145, Australia.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.http://genominfo.org/upload/pdf/gni-12-21.pdfdata displaygenomic visualizationinteractive visualizationprecursor cell lymphoblastic leukemia-lymphomavisual analyticsvisualization |
| spellingShingle | Quang Vinh Nguyen Guy Nelmes Mao Lin Huang Simeon Simoff Daniel Catchpoole Interactive Visualization for Patient-to-Patient Comparison Genomics & Informatics data display genomic visualization interactive visualization precursor cell lymphoblastic leukemia-lymphoma visual analytics visualization |
| title | Interactive Visualization for Patient-to-Patient Comparison |
| title_full | Interactive Visualization for Patient-to-Patient Comparison |
| title_fullStr | Interactive Visualization for Patient-to-Patient Comparison |
| title_full_unstemmed | Interactive Visualization for Patient-to-Patient Comparison |
| title_short | Interactive Visualization for Patient-to-Patient Comparison |
| title_sort | interactive visualization for patient to patient comparison |
| topic | data display genomic visualization interactive visualization precursor cell lymphoblastic leukemia-lymphoma visual analytics visualization |
| url | http://genominfo.org/upload/pdf/gni-12-21.pdf |
| work_keys_str_mv | AT quangvinhnguyen interactivevisualizationforpatienttopatientcomparison AT guynelmes interactivevisualizationforpatienttopatientcomparison AT maolinhuang interactivevisualizationforpatienttopatientcomparison AT simeonsimoff interactivevisualizationforpatienttopatientcomparison AT danielcatchpoole interactivevisualizationforpatienttopatientcomparison |