Paper Details

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Paper Title

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

Paper Journal Title

Database (Oxford)

Paper Citation Count

8

Paper Publication Year

2019

Bio Mention

Mesh Descriptor

Author Name	Affiliation
John Graybeal	Stanford Center for Biomedical Informatics Research, Stanford University School of Medicine
Mark A Musen	Stanford Center for Biomedical Informatics Research, Stanford University School of Medicine
Mark A Musen	Stanford Center for Biomedical Informatics Research, Stanford University School of Medicine

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Dataset	Description	Source Link
CEDAR	Cancer Epitope Database and Analysis Resouce	Link
CEDAR	Cancer Epitope Database and Analysis Resouce	Link
CEDAR	Cancer Epitope Database and Analysis Resouce	Link
CEDAR	Cancer Epitope Database and Analysis Resouce	Link
CEDAR	Cancer Epitope Database and Analysis Resouce	Link
CEDAR	Cancer Epitope Database and Analysis Resouce	Link
CEDAR	Cancer Epitope Database and Analysis Resouce	Link
CEDAR	Cancer Epitope Database and Analysis Resouce	Link
CEDAR	Cancer Epitope Database and Analysis Resouce	Link
CEDAR	Cancer Epitope Database and Analysis Resouce	Link
CEDAR	Cancer Epitope Database and Analysis Resouce	Link
CEDAR	Cancer Epitope Database and Analysis Resouce	Link
BioSamples database	BioSamples database: FAIRer samples metadata to accelerate research data ma	Link
BioSamples database	BioSamples database: FAIRer samples metadata to accelerate research data ma	Link
BioSamples database	BioSamples database: FAIRer samples metadata to accelerate research data ma	Link

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