Integrating microarray gene expression object model and clinical document architecture for cancer genomics research

Yu Rang Park; Hye Won Lee; Ju Han Kim

Integrating microarray gene expression object model and clinical document architecture for cancer genomics research

AMIA Annu Symp Proc. 2005:2005:1073.

Authors

Yu Rang Park¹, Hye Won Lee, Ju Han Kim

Affiliation

¹ Seoul National University Biomedical Informatics (SNUBI) and Human Genome Research Institute, Seoul National University College of Medicine, Seoul, 110-799, Korea.

PMID: 16779360
PMCID: PMC1560834

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.

Publication types

Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Gene Expression Profiling*
Genomics*
Humans
Neoplasms / genetics*
Oligonucleotide Array Sequence Analysis
Programming Languages
Semantics