Automated diagnosis of data-model conflicts using metadata.
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. In computational biology, data-model conflicts are the result of complex computations in which data and models are transformed and evaluated. Increasingly, the data [...]
Author(s): Chen, R O, Altman, R B
DOI: 10.1136/jamia.1999.0060374