Cancer Genomics Object Model: An Object Model for Cancer Research Using Microarray

  • Park, Yu-Rang (Seoul National University Biomedical Informatics (SNUBI)) ;
  • Lee, Hye-Won (Seoul National University Biomedical Informatics (SNUBI)) ;
  • Cho, Sung-Bum (Seoul National University Biomedical Informatics (SNUBI)) ;
  • Kim, Ju-Han (Seoul National University Biomedical Informatics (SNUBI), Human Genome Research Institute, Seoul National University College of Medicine)
  • Published : 2005.09.22

Abstract

DNA microarray becomes a major tool for the investigation of global gene expression in all aspects of cancer and biomedical research. DNA microarray experiment generates enormous amounts of data and they are meaningful only in the context of a detailed description of microarrays, biomaterials, and conditions under which they were generated. MicroArray Gene Expression Data (MGED) society has established microarray standard for structured management of these diverse and large amount data. MGED MAGE-OM (MicroArray Gene Expression Object Model) is an object oriented data model, which attempts to define standard objects for gene expression. To assess the relevance of DNA microarray analysis of cancer research it is required to combine clinical and genomics data. MAGE-OM, however, does not have an appropriate structure to describe clinical information of cancer. For systematic integration of gene expression and clinical data, we create a new model, Cancer Genomics Object Model.

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