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Integrating microarray gene expression object model and clinical document architecture for cancer genomics research
Yu Rang Park1, Hye Won Lee, Ju Han Kim
1Seoul National University Biomedical Informatics (SNUBI) and Human Genome Research Institute, Seoul National University College of Medicine, Seoul, 110-799, Korea.
Abstract:
Systematic integration of genomic-scale expression profiles with clinical information may facilitate cancer genomics research. MAGE-OM (Microarray Gene Expression Object Model) defines standard objects for genomic but not for clinical data. HL7 CDA (Clinical Document Architecture) is a document model for clinical information, describing syntax (generic structure) but not semantics. We designed a document template in XML Schema with additional constraints for CDA to define content semantics, enabling data model-level integration of MAGE-OM and CDA for cancer genomics research.
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