Automated Diagnosis of Data-Model Conflicts Using Metadata

AUTOR(ES)
FONTE

American Medical Informatics Association

RESUMO

The authors describe a methodology for helping computational biologists diagnose discrepancies they encounter between experimental data and the predictions of scientific models. The authors call these discrepancies data-model conflicts. They have built a prototype system to help scientists resolve these conflicts in a more systematic, evidence-based manner.

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