Neural network-based predictions of antimicrobial resistance in Salmonella spp. using k-mers counting from whole-genome sequences

CC Barros - bioRxiv, 2021 - biorxiv.org
Artificial intelligence-based predictions have emerged as a friendly and reliable tool for the
surveillance of the antimicrobial resistance (AMR) worldwide. In this regard, genome …
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[PDF][PDF] NEURAL NETWORK-BASED PREDICTIONS OF

CC Barros - 2021 - scholar.archive.org
Artificial intelligence-based predictions have emerged as a friendly and reliable tool for the
surveillance of the antimicrobial resistance (AMR) worldwide. In this regard, genome …

Neural network-based predictions of antimicrobial resistance inSalmonellaspp. using k-mers counting from whole-genome sequences

CC Barros - 2021 - europepmc.org
A bstract Artificial intelligence-based predictions have emerged as a friendly and reliable
tool for the surveillance of the antimicrobial resistance (AMR) worldwide. In this regard …