Using association rule mining and ontologies to generate metadata recommendations from multiple biomedical databases-Reference-Cited by-同舟云学术

Using association rule mining and ontologies to generate metadata recommendations from multiple biomedical databases

Published:2019-01-01 Issue: Volume:2019 Page:
ISSN:1758-0463
Container-title:Database
language:en
Short-container-title:

Author:

Martínez-Romero Marcos¹^ORCID,O'Connor Martin J¹^ORCID,Egyedi Attila L¹^ORCID,Willrett Debra¹^ORCID,Hardi Josef¹^ORCID,Graybeal John¹^ORCID,Musen Mark A¹^ORCID

Affiliation:

1. Stanford Center for Biomedical Informatics Research, 1265 Welch Road, Stanford University School of Medicine, Stanford, CA 94305-5479, USA

Funder

National Institutes of Health

National Institutes of Health through the National Institutes of Health Big Data to Knowledge program

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

http://academic.oup.com/database/article-pdf/doi/10.1093/database/baz059/28789729/baz059.pdf

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3. The variable quality of metadata about biological samples used in biomedical experiments;Gonçalves;Sci. Data,2019

4. The Center for Expanded Data Annotation and Retrieval;Musen;J. Am. Med. Informatics Assoc.,2015

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