Formal axioms in biomedical ontologies improve analysis and interpretation of associated data.

Smaili, Fatima Zohra; Gao, Xin; Hoehndorf, Robert

Smaili, Fatima Zohra; Gao, Xin; Hoehndorf, Robert.

Afiliación

Smaili FZ; Computer, Electrical & Mathematical Sciences and Engineering (CEMSE) Division, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Gao X; Computer, Electrical & Mathematical Sciences and Engineering (CEMSE) Division, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Hoehndorf R; Computer, Electrical & Mathematical Sciences and Engineering (CEMSE) Division, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

Bioinformatics ; 36(7): 2229-2236, 2020 04 01.

Article en En | MEDLINE | ID: mdl-31821406

Asunto(s)

Ontologías Biológicas; Ontología de Genes; Bases del Conocimiento; Aprendizaje Automático

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ontologías Biológicas Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Arabia Saudita

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