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BMCBI
2007

Annotation and query of tissue microarray data using the NCI Thesaurus

8 years 10 months ago
Annotation and query of tissue microarray data using the NCI Thesaurus
Background: The Stanford Tissue Microarray Database (TMAD) is a repository of data serving a consortium of pathologists and biomedical researchers. The tissue samples in TMAD are annotated with multiple free-text fields, specifying the pathological diagnoses for each sample. These text annotations are not structured according to any ontology, making future integration of this resource with other biological and clinical data difficult. Results: We developed methods to map these annotations to the NCI thesaurus. Using the NCIT we can effectively represent annotations for about 86% of the samples. We demonstrate how this mapping enables ontology driven integration and querying of tissue microarray data. We have deployed the mapping and ontology driven querying tools at the TMAD site for general use. Conclusion: We have demonstrated that we can effectively map the diagnosis-related terms describing a sample in TMAD to the NCI-T. The NCI thesaurus terms have a wide coverage and provide ter...
Nigam H. Shah, Daniel L. Rubin, Inigo Espinosa, Ke
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2007
Where BMCBI
Authors Nigam H. Shah, Daniel L. Rubin, Inigo Espinosa, Kelli Montgomery, Mark A. Musen
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