GenomicsbioRxivPreprint
Neural network-based predictions of antimicrobial resistance in Salmonella spp. using k-mers counting from whole-genome sequences
This paper uses neural networks to predict antimicrobial resistance in Salmonella spp. from whole-genome sequences, achieving high accuracy in susceptibility classification and MIC prediction.