Ontology-driven indexing of public datasets for translational bioinformatics

被引：0
|
作者：
Nigam H Shah
Clement Jonquet
Annie P Chiang
Atul J Butte
Rong Chen
Mark A Musen
机构：
[1] Stanford University,Centre for Biomedical Informatics, School of Medicine
来源：
BMC Bioinformatics | / 10卷
关键词：
Gene Expression Omnibus; Biomedical Ontology; Resource Element; High Level Term; Genomic Scale Data;
D O I：
暂无
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学科分类号：
摘要：
The volume of publicly available genomic scale data is increasing. Genomic datasets in public repositories are annotated with free-text fields describing the pathological state of the studied sample. These annotations are not mapped to concepts in any ontology, making it difficult to integrate these datasets across repositories. We have previously developed methods to map text-annotations of tissue microarrays to concepts in the NCI thesaurus and SNOMED-CT.
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