Selected article for: "false positive and large number"

Author: Junan Zhu; Kristina Rivera; Dror Baron
Title: Noisy Pooled PCR for Virus Testing
  • Document date: 2020_4_8
  • ID: 8kccpd4x_3
    Snippet: Main idea. Noisy group testing is used to analyze RT-PCR data from mixed or pooled samples, as recently demonstrated for COVID-19 [2] . The goal of group testing is twofold. First, to increase the accuracy of testing for each individual patient by combining information from multiple pooled measurements that sample genetic material from that same individual. Second, to use a reduced number of measurements, especially in settings where a large popu.....
    Document: Main idea. Noisy group testing is used to analyze RT-PCR data from mixed or pooled samples, as recently demonstrated for COVID-19 [2] . The goal of group testing is twofold. First, to increase the accuracy of testing for each individual patient by combining information from multiple pooled measurements that sample genetic material from that same individual. Second, to use a reduced number of measurements, especially in settings where a large population is being tested, most patients are healthy, and so many individual measurements will come out negative and thus show that multiple patients are healthy. In summary, group testing allows to evaluate large populations at high throughput, low per-patient diagnostic costs, and low false positive and negative probabilities.

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