BQsupports: systematic assessment of the support and novelty of new biomedical associations.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Sep 2, 2023
Abstract
MOTIVATION: Living a Big Data era in Biomedicine, there is an unmet need to systematically assess experimental observations in the context of available information. This assessment would offer a means for a comprehensive and robust validation of biomedical data results and provide an initial estimate of the potential novelty of the findings.