date:Feb 11, 2019
nd retail meat isolates from the FDA arm of the National Antimicrobial Resistance Monitoring System.
With so many genomes, machine learning is a natural choice to deal with all these data.
We used this big collection of Typhimurium genomes as the training set to build the classifier, said Deng who was awarded the UGA Creative Research Medal in 2017 for his work in this area. The classifier predicts the source of the Typhimurium isolate by interrogating thousands of genetic features of its gen