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Inferring Negative Molecular Biomarker Data at Scale.

Ashleigh E McBratneyBenjamin A HolmesGiles S BrownRaghu WarrierAnna B Berry
Published in: JCO clinical cancer informatics (2023)
The ability to accurately determine positivity and testing rates among patient populations is imperative. With only positive results, it is impossible to draw conclusions about the entire tested population or the characteristics of the subgroup who are negative for the biomarker in question. We leverage these values to perform quality checks on ingested data, and end users can easily monitor their adherence to testing recommendations.
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