NCI Thesaurus: A semantic model integrating cancer-related clinical and molecular information

By N. Sioutos, Sherri de Coronado, Margaret W. Haber, F. Hartel, W. Shaiu, L. Wright. Journal of Biomedical Informatics, 2007

474 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/66351af8025113b2fce3135dfae55ccba9820876

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Citations in the corpus

Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data (2014, methodology): “DO integrates disease concepts from ICD-9, the National Cancer Institute (NCI) Thesaurus (8), SNOMED-CT (10) and MeSH (https://www.”
The Cellosaurus, a Cell-Line Knowledge Resource. (2018, methodology): “gov/ncitbrowser/).(47) We chose to use the NCI Thesaurus over other disease ontologies, as it is comprehensive in terms of cancer terms for human, mouse, and rat.”
Advancing translational research with the Semantic Web (2007, methodology): “Among these data sets are the OBO ontologies [69], Reac-tome [70], KEGG [71], NCI Metathesaurus [72], and Uni-Prot [73].”
COSMIC: a curated database of somatic variants and clinical data for cancer (2023, unknown): “For interoperability , all COSMIC disease classifications have been mapped to the NCI thesaurus ontology ( 14 ) and these mappings can be downloaded from the COSMIC website.”
The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019 (2018, background): “The Ontology Cross Reference Service (OxO) offers mappings to other ontologies, including clinical terminologies such as Snomed-CT (http://browser.ihtsdotools.org/) and the NCI Thesaurus (24) enabling semantic integration of the Catalog’s data.”
Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support (2008, background): “The availability of the NCI Thesaurus in OWL (Web Ontology Language) format makes it amenable to automatic processing by reasoners developed for OWL, enabling consistency checking and automatic classification.”
Biomedical ontologies: a functional perspective (2007, background): “NCI Thesaurus enables scientists to link their research findings to disease and molecular patterns [26].”
Distributed learning: Developing a predictive model based on data from multiple hospitals without data leaving the hospital - A real life proof of concept. (2016, methodology): “In each hospital, data were extracted from the local data sources and then mapped to codes and stored in the local triplestore using an ontology (NCI Thesaurus) [26].”