False Negative Rate Evaluation is a methodological framework within assay validation that quantifies the proportion of actual positive instances incorrectly classified as negative, distinguishing it from related performance metrics by specifically assessing diagnostic errors of omission in binary classification outcomes.
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VulDeePecker: A Deep Learning-Based System for Vulnerability Detection
2018 · 812 citations · Full text
Evaluation of COVID-19 RT-qPCR Test in Multi sample Pools
Idan Yelin, Noga Aharony, Einat Shaer Tamar et al. · Clinical Infectious Diseases · 2020 · 452 citations · Full text
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Chinese Academy of Sciences
Beijing, China
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The University of Sydney
Sydney, Australia
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Memorial Sloan Kettering Cancer Center
New York, United States
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