AI Article Synopsis
- The paper introduces a visual analysis technology designed to analyze complex genomic and biomedical data, making it easier to extract meaningful insights.
- It combines domain knowledge with data analysis to create a comprehensive tool that allows for thorough examination of patient data, from general population overviews to detailed gene comparisons.
- The authors showcase the tool's effectiveness through a case study involving childhood cancer patients, highlighting its utility for both confirming existing hypotheses and discovering new scientific insights.
Article 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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3990763 | PMC |
| http://dx.doi.org/10.5808/GI.2014.12.1.21 | DOI Listing |
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