Noisy Pooled PCR for Virus Testing

Abstract excerpt

Fast testing can help mitigate the coronavirus disease 2019 (COVID-19) pandemic. Despite their accuracy for single sample analysis, infectious diseases diagnostic tools, like RT-PCR, require substantial resources to test large populations. We develop a scalable approach for determining the viral status of pooled patient samples. Our approach converts group testing to a linear inverse problem, where false positives...

Topics

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• Escherichia coli
• Algorithms
• Bayes Theorem
• Computer Simulation
• Genome-Wide Association Study
• Genomics
• High-Throughput Nucleotide Sequencing
• Sequence Analysis, DNA

Identifiers and source

Literature Corpus work

615df0d9-461f-530b-b9d4-2df4745665ed

DOI

10.1101/2020.04.06.026765