Predicting S. aureus antimicrobial resistance with interpretable genomic space maps
Antimicrobial resistance (AMR) is a global healthcare threat, and rapid antibiotic treatment selection is crucial. Generative topographic mapping (GTM) is a non-linear dimensionality reduction method used to visualize sequence space and predict AMR. Applying to AMR data from over 5000 S. aureus isolates, GTM models showed reasonable accuracy for all drugs. GTMs allow antibiotic-wise comparison of resistant phenotypes and analyze genetic determinants responsible for drug resistance.
OUR UNDERWRITERS
Unrestricted financial support by:
 |
Antimicrobial Resistance Fighter Coalition |
 |
Bangalore Bioinnovation Centre |
 |
INTERNATIONAL FEDERATION PHARMACEUTICAL MANUFACTURERS & ASSOCIATIONS |
 |
BD |
AMR NEWS
Your Biweekly Source for Global AMR Insights!
Stay informed with the essential newsletter that brings together all the latest One Health news on antimicrobial resistance. Delivered straight to your inbox every two weeks, AMR NEWS provides a curated selection of international insights, key publications, and the latest updates in the fight against AMR.
Don’t miss out on staying ahead in the global AMR movement—subscribe now!