Synthetic BiologybioRxivPreprint
Attribution of genetic engineering: a practical and accurate machine learning toolkit for biosecurity
Ethan C. Alley, Miles Turpin, Andrew Bo Liu…·Kevin M. Esvelt
This paper develops a machine learning toolkit to attribute genetic engineering to labs by analyzing DNA motifs and phenotype, achieving 70% accuracy in distinguishing over 1,300 labs.